Fabian Boemer

20 papers A* 1A 1B 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Scalable Private Search with Wally.
CoRR
Hilal Asi, Fabian Boemer, Nicholas Genise, Muhammad Haris Mughees, Tabitha Ogilvie, Rehan Rishi, Guy N. Rothblum, Kunal Talwar, Karl Tarbe, Ruiyu Zhu, Marco Zuliani
2022 A conf
Accelerating Encrypted Computing on Intel GPUs.
IPDPS
Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky
2022 J jnl
Enabling Homomorphically Encrypted Inference for Large DNN Models.
IEEE Trans. Computers
Guillermo Lloret-Talavera, Marc Jordà, Harald Servat, Fabian Boemer, Chetan Chauhan, Shigeki Tomishima, Nilesh N. Shah, Antonio J. Peña
2021 J jnl
Accelerating Encrypted Computing on Intel GPUs.
CoRR
Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky
2021 J jnl
Enabling Homomorphically Encrypted Inference for Large DNN Models.
CoRR
Guillermo Lloret-Talavera, Marc Jordà, Harald Servat, Fabian Boemer, Chetan Chauhan, Shigeki Tomishima, Nilesh N. Shah, Antonio J. Peña
2021 — conf
Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52.
WAHC@CCS
Fabian Boemer, Sejun Kim, Gelila Seifu, Fillipe D. M. de Souza, Vinodh Gopal
2021 J jnl
Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52.
CoRR
Fabian Boemer, Sejun Kim, Gelila Seifu, Fillipe D. M. de Souza, Vinodh Gopal
2021 J jnl
Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52.
IACR Cryptol. ePrint Arch.
Fabian Boemer, Sejun Kim, Gelila Seifu, Fillipe D. M. de Souza, Vinodh Gopal
2020 A* conf
Developing Privacy-preserving AI Systems: The Lessons learned.
DAC
Huili Chen, Siam Umar Hussain, Fabian Boemer, Emmanuel Stapf, Ahmad-Reza Sadeghi, Farinaz Koushanfar, Rosario Cammarota
2020 — conf
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference.
PPMLP@CCS
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame
2020 J jnl
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference.
IACR Cryptol. ePrint Arch.
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame
2020 B conf
MP2ML: a mixed-protocol machine learning framework for private inference.
ARES
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame
2020 J jnl
Trustworthy AI Inference Systems: An Industry Research View.
CoRR
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
2019 — conf
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.
WAHC@CCS
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
2019 J jnl
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.
CoRR
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
2019 J jnl
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data.
IACR Cryptol. ePrint Arch.
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
2019 J jnl
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.
IACR Cryptol. ePrint Arch.
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
2019 — conf
nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data.
CF
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
2018 J jnl
Parameter-free image segmentation with SLIC.
Neurocomputing
Fabian Boemer, Edward R. Ratner, Amaury Lendasse
2018 J jnl
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data.
CoRR
Fabian Boemer, Yixing Lao, Casimir Wierzynski