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Fabian Boemer
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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
, Shigeki Tomishima
, Nilesh N. Shah, Antonio J. Peña
:
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
, Thomas Schneider
, Hossein Yalame:
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
, Hossein Yalame:
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
, Rosario Cammarota:
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
, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton:
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
, Amaury Lendasse:
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
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last updated on 2024-07-09 22:02 CEST by the dblp team
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