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As a well known machine learning model, Gradient Boosting Decision Tree (GBDT) is widely used in many real-world scenes such as online marketing, risk management, fraud detection and recommendation systems. Due to limited data resources, two data owners ...

Computing the distance between two non-normalized vectors x and y, represented by Δ (x, y) and comparing it to a predefined public threshold τ is an essential functionality used in privacy-sensitive applications such as biometric authentication, ...

The popularity of Machine Learning (ML) makes the privacy of sensitive data more imperative than ever. Collaborative learning techniques like Split Learning (SL) aim to protect client data while enhancing ML processes. Though promising, SL has been ...

Secure full-text search enables searching for a string within a collection of documents while maintaining privacy. Despite recent studies on secure full-text search having achieved efficient round complexity, searches on large-scale databases remain ...

Logistic regression is an algorithm widely used for binary classification in various real-world applications such as fraud detection, medical diagnosis, and recommendation systems. However, training a logistic regression model with data from different ...

Function Secret Sharing (FSS) is a cryptographic tool introduced by Boyle et al. (EUROCRYPT 2015) and is useful for several applications such as private information retrieval, oblivious-RAM, multi-party computation, etc. Most of the known FSS ...

Several important lines of research have been geared toward the ability to search on encrypted data. Techniques such as Symmetric Searchable Encryption (SSE), Private Information Retrieval (PIR), Oblivious RAM (ORAM) and more have been introduced to ...

Private information retrieval (PIR) is a cryptographic primitive that facilitates the seemingly impossible task of letting users fetch records from untrusted and remote database servers without revealing to those servers which records are being fetched. ...

Point function secret sharing(PFSS)was a special kind of function secret sharing(FSS)that was a special case of secret sharing,that the shared secret was a point function instead of a value.Motivated by the reason that the PFSS has very good application ...

Function Secret Sharing (FSS), introduced by Boyle et al. (Eurocrypt 2015), provides a way for additively secret-sharing a function from a given function family F. More concretely, an m-party FSS scheme splits a function f : {0, 1}ⁿ -> G, for some ...