What a lovely hat

Private information retrieval (PIR) is a key component of many privacy-preserving systems. Although numerous PIR protocols have been proposed, designing a PIR scheme with communication overhead independent of the database size $N$ and computational cost practical for real-world applications remains a challenge. In this paper, we propose the NewtonPIR protocol, a communication efficient single-server PIR scheme. NewtonPIR can directly generate query values for the entire index without...

In this paper, we construct new t-server Private Information Retrieval (PIR) schemes with communication complexity subpolynomial in the previously best known, for all but finitely many t. Our results are based on combining derivatives (in the spirit of Woodruff-Yekhanin) with the Matching Vector based PIRs of Yekhanin and Efremenko. Previously such a combination was achieved in an ingenious way by Dvir and Gopi, using polynomials and derivatives over certain exotic rings, en route to their...

This paper partly solves the open problem of tight trade-off of client storage and server time in the client preprocessing setting of private information retrieval (PIR). In the client preprocessing setting of PIR, the client is allowed to store some hints generated from the database in a preprocessing phase and use the hints to assist online queries. We construct a new single-server client preprocessing PIR scheme. For a database with $n$ entries of size $w$, our protocol uses $S=O((n/T)...

Approximate nearest neighbor search (ANNS), also known as vector search, is an important building block for varies applications, such as databases, biometrics, and machine learning. In this work, we are interested in the private ANNS problem, where the client wants to learn (and can only learn) the ANNS results without revealing the query to the server. Previous private ANNS works either suffers from high communication cost (Chen et al., USENIX Security 2020) or works under a weaker...

Distributed point functions (DPF) are increasingly becoming a foundational tool with applications for application-specific and general secure computation. While two-party DPF constructions are readily available for those applications with satisfiable performance, the three-party ones are left behind in both security and efficiency. In this paper we close this gap and propose the first three-party DPF construction that matches the state-of-the-art two-party DPF on all metrics. Namely, it...

We propose a new private Approximate Nearest Neighbor (ANN) search scheme named Pacmann that allows a client to perform ANN search in a vector database without revealing the query vector to the server. Unlike prior constructions that run encrypted search on the server side, Pacmann carefully offloads limited computation and storage to the client, no longer requiring computationally-intensive cryptographic techniques. Specifically, clients run a graph-based ANN search, where in each hop on...

We consider 3 related cryptographic primitives, private information retrieval (PIR) protocols, conditional disclosure of secrets (CDS) protocols, and secret-sharing schemes; these primitives have many applications in cryptography. We study these primitives requiring information-theoretic security. The complexity of these primitives has been dramatically improved in the last few years are they are closely related, i.e., the the 2-server PIR protocol of Dvir and Gopi (J. ACM 2016) was...

Privacy set intersection (PSI) and private information retrieval (PIR) are important areas of research in privacy protection technology. One of the key tools for both is the oblivious pseudorandom function (OPRF). Currently, existing oblivious pseudorandom functions either focus solely on efficiency without considering quantum attacks, or are too complex, resulting in low efficiency. The aim of this paper is to achieve a balance: to ensure that the oblivious pseudorandom function can...

The Doubly-Efficient Private Information Retrieval (DEPIR) protocol of Lin, Mook, and Wichs (STOC'23) relies on a Homomorphic Encryption (HE) scheme that is algebraic, i.e., whose ciphertext space has a ring structure that matches the homomorphic operations. While early HE schemes had this property, modern schemes introduced techniques to manage noise growth. This made the resulting schemes much more efficient, but also destroyed the algebraic property. In this work, we study algebraic HE...

Private information retrieval (PIR) is a key building block in many privacy-preserving systems, and recent works have made significant progress on reducing the concrete computational costs of single-server PIR. However, existing constructions have high communication overhead, especially for databases with small records. In this work, we introduce Respire, a lattice-based PIR scheme tailored for databases of small records. To retrieve a single record from a database with over a million...

This paper presents a new architecture for metadata-private messaging that counters scalability challenges by offloading most computations to the clients. At the core of our design is a distributed private information retrieval (PIR) protocol, where the responder delegates its work to alleviate PIR's computational bottleneck and catches misbehaving delegates by efficiently verifying their results. We introduce DPIR, a messaging system that uses distributed PIR to let a server storing...

It is well-known that classical Private Information Retrieval (PIR) schemes without preprocessing must suffer from linear server computation per query. Moreover, any such single-server PIR with sublinear bandwidth must rely on public-key cryptography. Several recent works showed that these barriers pertaining to classical PIR can be overcome by introducing a preprocessing phase where each client downloads a small hint that helps it make queries subsequently. Notably, the Piano PIR scheme...

Private Information Retrieval (PIR) enables a client to retrieve a database element from a semi-honest server while hiding the element being queried from the server. Maliciously-secure PIR (mPIR) [Colombo et al., USENIX Security '23] strengthens the guarantees of plain (i.e., semi-honest) PIR by ensuring that even a misbehaving server (a) cannot compromise client privacy via selective-failure attacks, and (b) must answer every query *consistently* (i.e., with respect to the same database)....

We revisit the problem of private information retrieval (PIR) in the shuffle model, where queries can be made anonymously by multiple clients. We present the first single-server PIR protocol in this model that has sublinear per-client communication and information-theoretic security. Moreover, following one-time preprocessing on the server side, our protocol only requires sublinear per-client computation. Concretely, for every $\gamma>0$, the protocol has $O(n^{\gamma})$ communication and...

The shuffle model has recently emerged as a popular setting for differential privacy, where clients can communicate with a central server using anonymous channels or an intermediate message shuffler. This model was also explored in the context of cryptographic tasks such as secure aggregation and private information retrieval (PIR). However, this study was almost entirely restricted to the stringent notion of information-theoretic security. In this work, we study computationally secure...

Doubly Efficient Private Information Retrieval (DEPIR) pertains to a Private Information Retrieval (PIR) scheme with both near-linear server-side preprocessing time and sublinear query time. Very recently, Lin et al. (STOC '23) devised the first single-server DEPIR scheme from standard assumptions. However, their work left one major question open: can we build a DEPIR scheme in the multi-server setting, without relying on heavy cryptographic machinery? In this work, we propose the...

A private information retrieval (PIR) protocol allows a client to fetch any entry from single or multiple servers who hold a public database (of size $n$) while ensuring no server learns any information about the client's query. Initial works on PIR were focused on reducing the communication complexity of PIR schemes. However, standard PIR protocols are often impractical to use in applications involving large databases, due to its inherent large server-side computation complexity, that's at...

We propose a new unified framework to construct multi-server, information-theoretic Private Information Retrieval (PIR) schemes that leverage global preprocesing to achieve sublinear computation per query. Despite a couple earlier attempts, our understanding of PIR schemes in the global preprocessing model remains limited, and so far, we only know a few sparse points in the broad design space. Our framework not only unifies earlier results in this space, but leads to several new results....

Private Information Retrieval (PIR) permits clients to query entries from a public database hosted on untrusted servers in a privacy-preserving manner. Traditional PIR model suffers from high computation and/or bandwidth cost due to entire database processing for privacy. Recently, Online-Offline PIR (OO-PIR) has been suggested to improve the practicality of PIR, where query-independent materials are precomputed beforehand to accelerate online access. While state-of-the-art OO-PIR schemes...

Private information retrieval (PIR) is a fundamental cryptographic primitive that allows a user to fetch a database entry without revealing to the server which database entry it learns. PIR becomes non-trivial if the server communication is less than the database size. We show that building (even) very weak forms of single-server PIR protocols, without pre-processing, requires the number of public-key operations to scale linearly in the database size. This holds irrespective of the number of...

Private Information Retrieval (PIR) is a two player protocol where the client, given some query $x \in [N]$, interacts with the server, which holds a $N$-bit string $\textsf{DB}$, in order to privately retrieve $\textsf{DB}[x]$. In this work, we focus on the single-server client-preprocessing model, initially proposed by Corrigan-Gibbs and Kogan (EUROCRYPT 2020), where the client and server first run a joint preprocessing algorithm, after which the client can retrieve elements from...

A function secret sharing (FSS) (Boyle et al., Eurocrypt 2015) is a cryptographic primitive that enables additive secret sharing of functions from a given function family $\mathcal{F}$. FSS supports a wide range of cryptographic applications, including private information retrieval (PIR), anonymous messaging systems, private set intersection and more. Formally, given positive integers $r \geq 2$ and $t < r$, and a class $\mathcal{F}$ of functions $f: [n] \to \mathbb{G}$ for an Abelian group...

Motivated by secure database search, we present secure computation protocols for a function $f$ in the client-servers setting, where a client can obtain $f(x)$ on a private input $x$ by communicating with multiple servers each holding $f$. Specifically, we propose generic compilers from passively secure protocols, which only keep security against servers following the protocols, to actively secure protocols, which guarantee privacy and correctness even against malicious servers. Our...

We present VeriSimplePIR, a verifiable version of the state-of-the-art semi-honest SimplePIR protocol. VeriSimplePIR is a stateful verifiable PIR scheme guaranteeing that all queries are consistent with a fixed, well-formed database. It is the first efficient verifiable PIR scheme to not rely on an honest digest to ensure security; any digest, even one produced by a malicious server, is sufficient to commit to some database. This is due to our extractable verification procedure, which can...

We study single-server private information retrieval (PIR) where a client wishes to privately retrieve the $x$-th entry from a database held by a server without revealing the index $x$. In our work, we focus on PIR with client pre-processing where the client may compute hints during an offline phase. The hints are then leveraged during queries to obtain sub-linear online time. We present Plinko that is the first single-server PIR with client pre-processing that obtains optimal trade-offs...

Recently, many works have considered Private Information Retrieval (PIR) with client-preprocessing: In this model a client and a server jointly run a preprocessing phase, after which client queries can run in time sublinear in the size of the database. In addition, such approaches store no additional bits per client at the server, allowing us to scale PIR to a large number of clients. In this work, we propose the first client-preprocessing PIR scheme with ``single pass''...

We introduce YPIR, a single-server private information retrieval (PIR) protocol that achieves high throughput (up to 83% of the memory bandwidth of the machine) without any offline communication. For retrieving a 1-bit (or 1-byte) record from a 32 GB database, YPIR achieves 12.1 GB/s/core server throughput and requires 2.5 MB of total communication. On the same setup, the state-of-the-art SimplePIR protocol achieves a 12.5 GB/s/core server throughput, requires 1.5 MB total communication, but...

Recent constructions of private information retrieval (PIR) have seen significant improvements in computational performance. However, these improvements rely on heavy offline preprocessing that is typically difficult in real-world applications. Motivated by the question of PIR with no offline processing, we introduce WhisPIR, a fully stateless PIR protocol with low per-query communication. WhisPIR clients are all ephemeral, meaning that they appear with only the protocol public parameters...

In this paper, we study two problems: oblivious compression and decompression of ciphertexts. In oblivious compression, a server holds a set of ciphertexts with a subset of encryptions of zeroes whose positions are only known to the client. The goal is for the server to effectively compress the ciphertexts obliviously, while preserving the non-zero plaintexts and without learning the plaintext values. For oblivious decompression, the client, instead, succinctly encodes a sequence of...

We introduce $\mathsf{ChalametPIR}$: a single-server Private Information Retrieval (PIR) scheme supporting fast, low-bandwidth \emph{keyword} queries, with a conceptually very simple design. In particular, we develop a generic framework for converting PIR schemes for index queries over flat arrays (based on Learning With Errors) into keyword PIR. This involves representing a key-value map using any probabilistic filter that permits reconstruction of elements from inclusion queries (e.g....

Authenticated PIR enables a server to initially commit to a database of $N$ items, for which a client can later privately obtain individual items with complexity sublinear in $N$, with the added guarantee that the retrieved item is consistent with the committed database. A crucial requirement is privacy with abort, i.e., the server should not learn anything about a query even if it learns whether the client aborts. This problem was recently considered by Colombo et al. (USENIX '23), who...

We present two new constructions for private information retrieval (PIR) in the classical setting where the clients do not need to do any preprocessing or store any database dependent information, and the server does not need to store any client-dependent information. Our first construction (HintlessPIR) eliminates the client preprocessing step from the recent LWE-based SimplePIR (Henzinger et. al., USENIX Security 2023) by outsourcing the "hint" related computation to the server,...

Symmetric Private Information Retrieval (SPIR) is a stronger PIR protocol that ensures both client and server privacy. In many cases, the client needs authorization from the data subject before querying data. However, this also means that the server can learn the identity of the data subject. To solve such problems, we propose a new SPIR primitive, called authorized symmetric keyword information retrieval protocol (ASKPIR). Specifically, we designed an efficient DID identification algorithm...

Data marketplace is a critical platform for trading high-quality and private-domain data. A basic functionality in the data marketplace is that a data seller (as a server) owns a private key-value database and provides private query services to data buyers (as clients). This relates to Private Information Retrieval (PIR) by Keyword with symmetric privacy, abbreviated to KSPIR. In the context of PIR, Client-preprocessing PIR supports fast online retrievals by introducing a one-time,...

Private Information Retrieval (PIR) is a cryptographic primitive that allows a user to access data from a database without disclosing the specific information being requested, thereby safeguarding privacy. PIR schemes suffer from a significant computational burden. By running an offline preprocessing phase, PIR schemes can achieve sublinear online computation. While protocols for semi-honest servers have been well-studied in both single-server and multi-server scenarios, scant attention has...

Classically, Private Information Retrieval (PIR) was studied in a setting without any pre-processing. In this setting, it is well-known that 1) public-key cryptography is necessary to achieve non-trivial (i.e., sublinear) communication efficiency in the single-server setting, and 2) the total server computation per query must be linear in the size of the database, no matter in the single-server or multi-server setting. Recent works have shown that both of these barriers can be overcome...

Private information retrieval (PIR) allows a client to read data from a server, without revealing which information they are interested in. A PIR is doubly efficient if the server runtime is, after a one-time pre-processing, sublinear in the database size. A recent breakthrough result from Lin, Mook, and Wichs [STOC’23] proposed the first-doubly efficient PIR with (online) server computation poly-logarithmic in the size of the database, assuming the hardness of the standard Ring-LWE...

Private information retrieval (PIR) protocols allow clients to access database entries without revealing the queried indices. They have many real-world applications, including privately querying patent-, compromised credential-, and contact databases. While existing PIR protocols that have been implemented perform reasonably well in practice, they all have suboptimal asymptotic complexities. A line of work has explored so-called doubly-efficient PIR (DEPIR), which refers to single-server...

Consider a cloud server that owns a key-value store and provides a private query service to its clients. Preserving client privacy in this setting is difficult because the key-value store is public, and a client cannot encrypt or modify it. Therefore, privacy in this context implies hiding the access pattern of a client. Pantheon is a system that cryptographically allows a client to retrieve the value corresponding to a key from a public key-value store without allowing the server or any...

Recent works in amortized sublinear Private Information Retrieval (PIR) have demonstrated great potential. Despite the inspiring progress, existing schemes in this new paradigm are still faced with various challenges and bottlenecks, including large client storage, high communication, poor practical efficiency, need for non-colluding servers, or restricted client query sequences. We present simple and practical amortized sublinear stateful private information retrieval schemes without these...

Statistical sender privacy (SSP) is the strongest achievable security notion for two-message oblivious transfer (OT) in the standard model, providing statistical security against malicious receivers and computational security against semi-honest senders. In this work we provide a novel construction of SSP OT from the Decisional Diffie-Hellman (DDH) and the Learning Parity with Noise (LPN) assumptions achieving (asymptotically) optimal amortized communication complexity, i.e. it achieves rate...

Mobile contact discovery is a convenience feature of messengers such as WhatsApp or Telegram that helps users to identify which of their existing contacts are registered with the service. Unfortunately, the contact discovery implementation of many popular messengers massively violates the users' privacy as demonstrated by Hagen et al. (NDSS '21, ACM TOPS '23). Unbalanced private set intersection (PSI) protocols are a promising cryptographic solution to realize mobile private contact...

An $n$-server information-theoretic \textit{Distributed Point Function} (DPF) allows a client to secret-share a point function $f_{\alpha,\beta}(x)$ with domain $[N]$ and output group $\mathbb{G}$ among $n$ servers such that each server learns no information about the function from its share (called a key) but can compute an additive share of $f_{\alpha,\beta}(x)$ for any $x$. DPFs with small key sizes and general output groups are preferred. In this paper, we propose a new...

Secure computation enables mutually distrusting parties to jointly compute a function on their secret inputs, while revealing nothing beyond the function output. A long-running challenge is understanding the required communication complexity of such protocols---in particular, when communication can be sublinear in the circuit representation size of the desired function. For certain functions, such as Private Information Retrieval (PIR), this question extends to even sublinearity in the input...

In this paper, we introduce $\mathsf{SparsePIR}$, a single-server keyword private information retrieval (PIR) construction that enables querying over sparse databases. At its core, $\mathsf{SparsePIR}$ is based on a novel encoding algorithm that encodes sparse database entries as linear combinations while being compatible with important PIR optimizations including recursion. $\mathsf{SparsePIR}$ achieves response overhead that is half of state-of-the art keyword PIR schemes without requiring...

We construct a sublinear-time single-server pre-processing Private Information Retrieval (PIR) scheme with optimal client storage and server computation (up to poly-logarithmic factors), only relying on the assumption of the existence of One Way Functions (OWF). Our scheme achieves amortized $\tilde{O}(\sqrt{n})$ online server computation and client computation and $O(\sqrt{n})$ online communication per query, and requires $\widetilde{O}_\lambda(\sqrt{n})$ client storage. Unlike prior...

This paper introduces protocols for authenticated private information retrieval. These schemes enable a client to fetch a record from a remote database server such that (a) the server does not learn which record the client reads, and (b) the client either obtains the "authentic" record or detects server misbehavior and safely aborts. Both properties are crucial for many applications. Standard private-information-retrieval schemes either do not ensure this form of output authenticity, or they...

A $b$-error-correcting $m$-server Private Information Retrieval (PIR) protocol enables a client to privately retrieve a data item of a database from $m$ servers even in the presence of $b$ malicious servers. List-decodable PIR is a generalization of error-correcting PIR to achieve a smaller number of servers at the cost of giving up unique decoding. Previous constructions of error-correcting and list-decodable PIR have exponential computational complexity in $m$ or cannot achieve...

In Private Information Retrieval (PIR), a client wishes to retrieve the value of an index $i$ from a public database of $N$ values without leaking information about the index $i$. In their recent seminal work, Corrigan-Gibbs and Kogan (EUROCRYPT 2020) introduced the first two-server PIR protocol with sublinear amortized server time and sublinear, $O(\sqrt{N}\log N)$ bandwidth. In a followup work, Shi et al. (CRYPTO 2021) reduced the bandwidth to polylogarithmic by proposing a construction...

We introduce Grotto, a framework and C++ library for space- and time-efficient $(2+1)$-party piecewise polynomial (i.e., spline) evaluation on secrets additively shared over $\mathbb{Z}_{2^{n}}$. Grotto improves on the state-of-the-art approaches based on distributed comparison functions (DCFs) in almost every metric, offering asymptotically superior communication and computation costs with the same or lower round complexity. At the heart of Grotto is a novel observation about the structure...

We design, analyze, and implement Duoram, a fast and bandwidth-efficient distributed ORAM protocol suitable for secure 2- and 3-party computation settings. Following Doerner and shelat's Floram construction (CCS 2017), Duoram leverages (2,2)-distributed point functions (DPFs) to represent PIR and PIR-writing queries compactly—but with a host of innovations that yield massive asymptotic reductions in communication cost and notable speedups in practice, even for modestly sized instances....

A (single server) private information retrieval (PIR) allows a client to read data from a public database held on a remote server, without revealing to the server which locations she is reading. In a doubly efficient PIR (DEPIR), the database is first preprocessed, but the server can subsequently answer any client's query in time that is sub-linear in the database size. Prior work gave a plausible candidate for a public-key variant of DEPIR, where a trusted party is needed to securely...

A computational PIR scheme allows a client to privately query a database hosted on a single server without downloading the entire database. We introduce the notion of verifiable PIR (vPIR) where the server can convince the client that the database satisfies certain properties without additional rounds and while keeping the communication sub-linear. For example, the server can prove that the number of rows in the database that satisfy a predicate $P$ is exactly $n$. We define security...

Cuckoo hashing is a powerful primitive that enables storing items using small space with efficient querying. At a high level, cuckoo hashing maps $n$ items into $b$ entries storing at most $\ell$ items such that each item is placed into one of $k$ randomly chosen entries. Additionally, there is an overflow stash that can store at most $s$ items. Many cryptographic primitives rely upon cuckoo hashing to privately embed and query data where it is integral to ensure small failure probability...

Private information retrieval (PIR) is a cryptographic protocol that enables a wide range of privacy-preserving applications. Despite being extensively studied for decades, it is still not efficient enough to be used in practice. In this paper, we propose a novel PIR protocol named PIRANA, based on the recent advances in constant-weight codes. It is up to 188.6× faster than the original constant-weight PIR (presented in Usenix SEC '22). Most importantly, PIRANA naturally supports...

We investigate the optimal (asymptotic) efficiency of functional encryption (FE) and attribute-based encryption (ABE) by proving inherent space-time trade-offs and constructing nearly optimal schemes. We consider the general notion of partially hiding functional encryption (PHFE), capturing both FE and ABE, and the most efficient computation model of random-access machines (RAM). In PHFE, a secret key $\mathsf{sk}_f$ is associated with a function $f$, whereas a...

This paper studies Batch Private Information Retrieval (BatchPIR), a variant of private information retrieval (PIR) where the client wants to retrieve multiple entries from the server in one batch. BatchPIR matches the use case of many practical applications and holds the potential for substantial efficiency improvements over PIR in terms of amortized cost per query. Existing BatchPIR schemes have achieved decent computation efficiency but have not been able to improve communication...

An $\ell$-server Private Information Retrieval (PIR) scheme enables a client to retrieve a data item from a database replicated among $\ell$ servers while hiding the identity of the item. It is called $b$-error-correcting if a client can correctly compute the data item even in the presence of $b$ malicious servers. It is known that $b$-error correction is possible if and only if $\ell>2b$. In this paper, we first prove that if error correction is perfect, i.e., the client always corrects...

Databases often require the flexibility to control which entities can access specific database records. Such access control is absent in works that provide private access to databases, namely private information retrieval (PIR) systems. In this paper, we show how to address this shortcoming by introducing Pirmission, the first practical single-server PIR system that allows the enforcement of access control policies. Pirmission’s mechanism does not even reveal whether the client passed or...

Private Information Retrieval (PIR) addresses the cryptographic problem of hiding sensitive database queries from database operators. In practice, PIR schemes face the challenges of either high computational costs or restrictive security assumptions, resulting in a barrier to deployment. In this work, we introduce Assisted Private Information Retrieval (APIR), a new PIR framework for keyword-value databases generalizing multi-server PIR and relaxing its database consistency assumption. We...

We design $\mathsf{FrodoPIR}$ — a highly configurable, stateful, single-server Private Information Retrieval (PIR) scheme that involves an offline phase that is completely client-independent. Coupled with small online overheads, it leads to much smaller amortized financial costs on the server-side than previous approaches. In terms of performance for a database of $1$ million $1$KB elements, $\mathsf{FrodoPIR}$ requires $< 1$ second for responding to a client query, has a server response...

A transaction record in a sharded blockchain can be represented as a two-dimensional array of integers with row-index associated to an account, column-index to a shard and the entry to the transaction amount. In a blockchain-based cryptocurrency system with coded sharding, a transaction record of a given epoch of time is encoded using a block code considering the entries as finite-field symbols. Each column of the resultant coded array is then stored in a server. In the particular case of...

In Private Information Retrieval (PIR), a client wishes to access an index $i$ from a public $n$-bit database without revealing any information about $i$. Recently, a series of works starting with the seminal paper of Corrigan-Gibbs and Kogan (EUROCRYPT 2020) considered PIR with \emph{client preprocessing} and \emph{no additional server storage}. In this setting, we now have protocols that achieve $\widetilde{O}(\sqrt{n})$ (amortized) server time and $\widetilde{O}(1)$ (amortized) bandwidth...

In this paper, we study (batch) private information retrieval with private preprocessing. Private information retrieval (PIR) is the problem where one or more servers hold a database of $n$ bits and a client wishes to retrieve the $i$-th bit in the database from the server(s). In PIR with private preprocessing (also known as offline-online PIR), the client is able to compute a private $r$-bit hint in an offline stage that may be leveraged to perform retrievals accessing at most $t$ entries....

Arecentlineofwork, Stacked Garbled Circuit(SGC), showed that Garbled Circuit (GC) can be improved for functions that include conditional behavior. SGC relieves the communication bottleneck of 2PC by only sending enough garbled material for a single branch out of the b total branches. Hence, communication is sublinear in the circuit size. However, both the evaluator and the generator pay in computation and perform at least factor $\log b$ extra work as compared to standard GC. We extend...

We construct a single-server pre-processing Private Information Retrieval (PIR) scheme with optimal bandwidth and server computation (up to poly-logarithmic factors), assuming hardness of the Learning With Errors (LWE) problem. Our scheme achieves amortized $\widetilde{O}_{\lambda}(\sqrt{n})$ server and client computation and $\widetilde{O}_\lambda(1)$ bandwidth per query, completes in a single roundtrip, and requires $\widetilde{O}_\lambda(\sqrt{n})$ client storage. In...

An $\ell$-server Private Information Retrieval (PIR) scheme allows a client to retrieve the $\tau$-th element $a_\tau$ from a database $\bm{a}=(a_1,\ldots,a_n)$ which is replicated among $\ell$ servers. It is called $t$-private if any coalition of $t$ servers learns no information on $\tau$, and $b$-error correcting if a client can correctly compute $a_\tau$ from $\ell$ answers containing $b$ errors. This paper concerns the following problems: Is there a $t$-private $\ell$-server PIR scheme...

Onion services enable bidirectional anonymity for parties that communicate over the Tor network, thus providing improved privacy properties compared to standard TLS connections. Since these services are designed to support server-side anonymity, the entry points for these services shuffle across the Tor network periodically. In order to connect to an onion service at a given time, the client has to resolve the .onion address for the service, which requires querying volunteer Tor nodes called...

We introduce the Spiral family of single-server private information retrieval (PIR) protocols. Spiral relies on a composition of two lattice-based homomorphic encryption schemes: the Regev encryption scheme and the Gentry-Sahai-Waters encryption scheme. We introduce new ciphertext translation techniques to convert between these two schemes and in doing so, enable new trade-offs in communication and computation. Across a broad range of database configurations, the basic version of Spiral...

The recent work of Agrawal et al., [Crypto '21] and Goyal et al. [Eurocrypt '22] concurrently introduced the notion of dynamic bounded collusion security for functional encryption (FE) and showed a construction satisfying the notion from identity based encryption (IBE). Agrawal et al., [Crypto '21] further extended it to FE for Turing machines in non-adaptive simulation setting from the sub-exponential learining with errors assumption (LWE). Concurrently, the work of Goyal et al. [Asiacrypt...

We present a lower bound for the static cryptographic data structure problem of single-server private information retrieval (PIR). PIR considers the setting where a server holds a database of $n$ entries and a client wishes to privately retrieve the $i$-th entry without revealing the index $i$ to the server. In our work, we focus on PIR with preprocessing where an $r$-bit hint may be computed in a preprocessing stage and stored by the server to be used to perform private queries in expected...

Given a private string q and a remote server that holds a set of public documents D, how can one of the K most relevant documents to q in D be selected and viewed without anyone (not even the server) learning anything about q or the document? This is the oblivious document ranking and retrieval problem. In this paper, we describe Coeus, a system that solves this problem. At a high level, Coeus composes two cryptographic primitives: secure matrix-vector product for scoring document relevance...

Recent new constructions of rate-1 OT [Döttling, Garg, Ishai, Malavolta, Mour, and Ostrovsky, CRYPTO 2019] have brought this primitive under the spotlight and the techniques have led to new feasibility results for private-information retrieval, and homomorphic encryption for branching programs. The receiver communication of this construction consists of a quadratic (in the sender's input size) number of group elements for a single instance of rate-1 OT. Recently [Garg, Hajiabadi, Ostrovsky,...

Recent private information retrieval (PIR) schemes preprocess the database with a query-independent offline phase in order to achieve sublinear computation during a query-specific online phase. These offline/online protocols expand the set of applications that can profitably use PIR, but they make a critical assumption: that the database is immutable. In the presence of changes such as additions, deletions, or updates, existing schemes must preprocess the database from scratch, wasting prior...

Peer-to-peer distributed hash tables (DHTs) rely on volunteers to contribute their computational resources, such as disk space and bandwidth. In order to incentivize these node operators of privacy-preserving DHTs, it is important to prevent exposing them to the data that is stored on the DHT and/or queried for. Vasserman et al.'s CROPS aimed at providing plausible deniability to server nodes by encrypting stored content. However, node operators are still exposed to the contents of queries....

Doubly Efficient Private Information Retrieval (DEPIR) enables queries to an externally held database while hiding the identity of the queried indices, strengthening standard Private Information Retrieval (Chor, Goldreich, Kushilevitz, Sudan FOCS'95) with an efficiency requirement that the computational demands of both client and server are sublinear in the database size. The first DEPIR candidate constructions were recently put forth, based on a new type of assumption relating to...

This paper presents OnionPIR and stateful OnionPIR two single-server PIR schemes that significantly improve the response size and computation cost over state-of-the-art schemes. OnionPIR scheme utilizes recent advances in somewhat homomorphic encryption (SHE) and carefully composes two lattice-based SHE schemes and homomorphic operations to control the noise growth and response size. Stateful OnionPIR uses a technique based on the homomorphic evaluation of copy networks. OnionPIR achieves a...

Multi-Server Private Information Retrieval (PIR) is a cryptographic protocol that allows a client to securely query a database entry from $n \geq 2$ servers of which less than $t$ can collude, s.t. the servers learn no information about the query. Highly efficient PIR could be used for large-scale applications like Compromised Credential Checking (C3) (USENIX Security'19), which allows users to check whether their credentials have been leaked in a data breach. However, state-of-the art PIR...

In this work, we present a lightweight construction of verifiable two-party function secret sharing (FSS) for point functions and multi-point functions. Our verifiability method is lightweight in two ways. Firstly, it is concretely efficient, making use of only symmetric key operations and no public key or MPC techniques are involved. Our performance is comparable with the state-of-the-art non-verifiable DPF constructions, and we outperform all prior DPF verification techniques in both...

Private Information Retrieval (PIR) allows several clients to query a database held by one or more servers, such that the contents of their queries remain private. Prior PIR schemes have achieved sublinear communication and computation by leveraging computational assumptions, federating trust among many servers, relaxing security to permit differentially private leakage, refactoring effort into an offline stage to reduce online costs, or amortizing costs over a large batch of queries. In...

Imagine one or more non-colluding servers each holding a large public database, e.g., the repository of DNS entries. Clients would like to access entries in this database without disclosing their queries to the servers. Classical private information retrieval (PIR) schemes achieve polylogarithmic bandwidth per query, but require the server to perform linear computation per query, which is a significant barrier towards deployment. Several recent works showed, however, that by introducing...

Distributed ORAM (DORAM) is a multi-server variant of Oblivious RAM. Originally proposed to lower bandwidth, DORAM has recently been of great interest due to its applicability to secure computation in the RAM model, where circuit complexity and rounds of communication are equally important metrics of efficiency. In this work, we construct the first DORAM schemes in the 2-server, semi-honest setting that simultaneously achieve sublinear server computation and constant rounds of...

The latest pandemic COVID-19 brought governments worldwide to use various containment measures to control its spread, such as contact tracing, social distance regulations, and curfews. Epidemiological simulations are commonly used to assess the impact of those policies before they are implemented. Unfortunately, the scarcity of relevant empirical data, specifically detailed social contact graphs, hampered their predictive accuracy. As this data is inherently privacy-critical, a method is...

Information-theoretic private information retrieval (PIR) schemes have attractive concrete efficiency features. However, in the standard PIR model, the computational complexity of the servers must scale linearly with the database size. We study the possibility of bypassing this limitation in the case where the database is a truth table of a "simple" function, such as a union of (multi-dimensional) intervals or convex shapes, a decision tree, or a DNF formula. This question is motivated by...

Private information retrieval (PIR) lets a client retrieve an entry from a database without the server learning which entry was retrieved. Here we study a weaker variant that we call \emph{random-index PIR} (RPIR), where the retrieved index is an \emph{output} rather than an input of the protocol, and is chosen at random. RPIR is clearly weaker than PIR, but it suffices for some interesting applications and may be realized more efficiently than full-blown PIR. We report here on two lines of...

Private Information Retrieval (PIR) is one of the promising techniques to preserve user privacy in the presence of trusted-but- curious servers. The information-theoretically private query construction assures the highest user privacy over curious and unbounded computation servers. Therefore, the need for information-theoretic private retrieval was fulfilled by various schemes in a variety of PIR settings. To augment previous work, we propose a combination of new bit connection methods...

The private join and compute (PJC) functionality enables secure computation over data distributed across different databases, which is a functionality with a wide range of applications, many of which address settings where the input databases are of significantly different sizes. We introduce the notion of private information retrieval (PIR) with default, which enables two-party PJC functionalities in a way that hides the size of the intersection of the two databases and incurs sublinear...

We give a four-round black-box construction of a commit-and-prove protocol with succinct communication. Our construction is WI and has constant soundness error, and it can be upgraded into a one that is ZK and has negligible soundness error by relying on a round-preserving transformation of Khurana et al. (TCC 2018). Our construction is obtained by combining the MPC-in-the-head technique of Ishai et al. (SICOMP 2009) with the two-round succinct argument of Kalai et al. (STOC 2014), and the...

We show that the single-server computational PIR protocol proposed by Holzbaur, Hollanti and Wachter-Zeh in 2020 is not private, in the sense that the server can recover in polynomial time the index of the desired file with very high probability. The attack relies on the following observation. Removing rows of the query matrix corresponding to the desired file yields a large decrease of the dimension over $\mathbb{F}_q$ of the vector space spanned by the rows of this punctured matrix. Such a...

File-sharing systems like Dropbox offer insufficient privacy because a compromised server can see the file contents in the clear. Although encryption can hide such contents from the servers, metadata leakage remains significant. The goal of our work is to develop a file-sharing system that hides metadata---including user identities and file access patterns. Metal is the first file-sharing system that hides such metadata from malicious users and that has a latency of only a few seconds. The...

We study the computation and communication costs and their possible trade-offs in various constructions for private information retrieval (PIR), including schemes based on homomorphic encryption and the Gentry--Ramzan PIR (ICALP'05). We improve over the construction of SealPIR (S&P'18) using compression techniques and a new oblivious expansion, which reduce the communication bandwidth by 60% while preserving essentially the same computation cost. We then present MulPIR, a PIR protocol...

A permuted puzzle problem is defined by a pair of distributions $D_0,D_1$ over $S^n$. The problem is to distinguish samples from $D_0,D_1$, where the symbols of each sample are permuted by a single secret permutation $p$ of $[n]$. The conjectured hardness of specific instances of permuted puzzle problems was recently used to obtain the first candidate constructions of Doubly Efficient Private Information Retrieval (DE-PIR) (Boyle et al. & Canetti et al., TCC'17). Roughly, in these works the...

We investigate concretely efficient protocols for distributed oblivious linear evaluation over vectors (Vector-OLE). Boyle et al. (CCS 2018) proposed a protocol for secure distributed pseudorandom Vector-OLE generation using sublinear communication, but they did not provide an implementation. Their construction is based on a variant of the LPN assumption and assumes a distributed key generation protocol for single-point Function Secret Sharing (FSS), as well as an efficient batching scheme...

Substantial work on trapdoor functions (TDFs) has led to many powerful notions and applications. However, despite tremendous work and progress, all known constructions have prohibitively large public keys. In this work, we introduce new techniques for realizing so-called range-trapdoor hash functions with short public keys. This notion, introduced by Döttling et al. [Crypto 2019], allows for encoding a range of indices into a public key in a way that the public key leaks no information...

We introduce the WIDESEAS protocol for lattice-based Private Information Retrieval (PIR), and we give performance numbers for its recent implementation in the EncryptedQuery open-source PIR software. This protocol uses the fully homomorphic Brakerski--Fan--Vercauteren (BFV) encryption scheme, as opposed to the Paillier scheme, which is used in all earlier versions of EncryptedQuery. We show that the homomorphic capabilities of BFV result in smaller query sizes (due to a query-shrinking...

Homomorphic encryption (HE) is often viewed as impractical, both in communication and computation. Here we provide an additively homomorphic encryption scheme based on (ring) LWE with nearly optimal rate ($1-\epsilon$ for any $\epsilon>0$). Moreover, we describe how to compress many FHE ciphertexts that may have come from a homomorphic evaluation (e.g., of the Gentry-Sahai-Waters (GSW) scheme), into fewer high-rate ciphertexts. Using our high-rate HE scheme, we are able for the first time...

We introduce a new primitive, called trapdoor hash functions (TDH), which are hash functions $H: \{0,1\}^n \rightarrow \{0,1\}^\textrm{sec}$ with additional trapdoor function-like properties. Specifically, given an index $i\in[n]$, TDHs allow for sampling an encoding key $\textrm{ek}$ (that hides $i$) along with a corresponding trapdoor. Furthermore, given $\mathsf{H}(x)$, a hint value $\mathsf{E}(\textrm{ek},x)$, and the trapdoor corresponding to $\textrm{ek}$, the $i^{th}$ bit of $x$ can...

We initiate the study of fully homomorphic encryption for RAMs (RAM-FHE). This is a public-key encryption scheme where, given an encryption of a large database $D$, anybody can efficiently compute an encryption of $P(D)$ for an arbitrary RAM program $P$. The running time over the encrypted data should be as close as possible to the worst case running time of $P$, which may be sub-linear in the data size. A central difficulty in constructing a RAM-FHE scheme is hiding the sequence of memory...

Securely managing encrypted data on an untrusted party is a challenging problem that has motivated the study of a variety of cryptographic primitives. A special class of such primitives allows an untrusted party to transform a ciphertext encrypted under one key to a ciphertext under another key, using some auxiliary information that does not leak the underlying data. Prominent examples of such primitives in the symmetric-key setting are key-homomorphic PRFs, updatable encryption, and proxy...

Suppose that there exist a user and $\ell$ servers $S_1, \ldots, S_{\ell}$. Each server $S_j$ holds a copy of a database $x=(x_1, \ldots, x_n) \in \{0,1\}^n$, and the user holds a secret index $i_0 \in \{1, \ldots, n\}$. A b error correcting $\ell$ server PIR (Private Information Retrieval) scheme allows a user to retrieve $x_{i_0}$ correctly even if and $b$ or less servers return false answers while each server learns no information on $i_0$ in the information theoretic sense. Although...