default search action
Fabian Boemer
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [i11]Hilal Asi, Fabian Boemer, Nicholas Genise, Muhammad Haris Mughees, Tabitha Ogilvie, Rehan Rishi, Guy N. Rothblum, Kunal Talwar, Karl Tarbe, Ruiyu Zhu, Marco Zuliani:
Scalable Private Search with Wally. CoRR abs/2406.06761 (2024) - 2022
- [j2]Guillermo Lloret-Talavera, Marc Jordà, Harald Servat, Fabian Boemer
, Chetan Chauhan
Enabling Homomorphically Encrypted Inference for Large DNN Models. IEEE Trans. Computers 71(5): 1145-1155 (2022) - [c7]Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky:
Accelerating Encrypted Computing on Intel GPUs. IPDPS 2022: 705-716 - 2021
- [c6]Fabian Boemer, Sejun Kim, Gelila Seifu, Fillipe D. M. de Souza, Vinodh Gopal:
Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52. WAHC@CCS 2021: 57-62 - [i10]Guillermo Lloret-Talavera, Marc Jordà, Harald Servat, Fabian Boemer, Chetan Chauhan, Shigeki Tomishima, Nilesh N. Shah, Antonio J. Peña:
Enabling Homomorphically Encrypted Inference for Large DNN Models. CoRR abs/2103.16139 (2021) - [i9]Fabian Boemer, Sejun Kim, Gelila Seifu, Fillipe D. M. de Souza, Vinodh Gopal:
Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52. CoRR abs/2103.16400 (2021) - [i8]Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky:
Accelerating Encrypted Computing on Intel GPUs. CoRR abs/2109.14704 (2021) - [i7]Fabian Boemer, Sejun Kim, Gelila Seifu, Fillipe D. M. de Souza, Vinodh Gopal:
Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52. IACR Cryptol. ePrint Arch. 2021: 420 (2021) - 2020
- [c5]Fabian Boemer, Rosario Cammarota, Daniel Demmler
MP2ML: a mixed-protocol machine learning framework for private inference. ARES 2020: 14:1-14:10 - [c4]Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. PPMLP@CCS 2020: 43-45 - [c3]Huili Chen, Siam Umar Hussain, Fabian Boemer, Emmanuel Stapf, Ahmad-Reza Sadeghi, Farinaz Koushanfar
Developing Privacy-preserving AI Systems: The Lessons learned. DAC 2020: 1-4 - [i6]Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler
Trustworthy AI Inference Systems: An Industry Research View. CoRR abs/2008.04449 (2020) - [i5]Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame:
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. IACR Cryptol. ePrint Arch. 2020: 721 (2020)
2010 – 2019
- 2019
- [c2]Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. WAHC@CCS 2019: 45-56 - [c1]Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data. CF 2019: 3-13 - [i4]Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. CoRR abs/1908.04172 (2019) - [i3]Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data. IACR Cryptol. ePrint Arch. 2019: 350 (2019) - [i2]Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski:
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. IACR Cryptol. ePrint Arch. 2019: 947 (2019) - 2018
- [j1]Fabian Boemer, Edward R. Ratner
Parameter-free image segmentation with SLIC. Neurocomputing 277: 228-236 (2018) - [i1]Fabian Boemer, Yixing Lao, Casimir Wierzynski:
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data. CoRR abs/1810.10121 (2018)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-09 21:13 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: