Fabian Boemer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Homomorphic Encryption

Systems Biology

Unified Framework

Top Venues

IACR Cryptol. ePrint Arch.

Publications

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 (2024)
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) (2022)
Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky
Accelerating Encrypted Computing on Intel GPUs. IPDPS (2022)
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 (2021)
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)
Yujia Zhai, Mohannad Ibrahim, Yiqin Qiu, Fabian Boemer, Zizhong Chen, Alexey Titov, Alexander Lyashevsky
Accelerating Encrypted Computing on Intel GPUs. CoRR (2021)
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 (2021)
Fabian Boemer, Sejun Kim, Gelila Seifu, Fillipe D. M. de Souza, Vinodh Gopal
Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52. CoRR (2021)
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame
MP2ML: a mixed-protocol machine learning framework for private inference. ARES (2020)
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 (2020)
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 (2020)
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. PPMLP@CCS (2020)
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)
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. WAHC@CCS (2019)
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 (2019)
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 (2019)
Fabian Boemer, Yixing Lao, Rosario Cammarota, Casimir Wierzynski
nGraph-HE: a graph compiler for deep learning on homomorphically encrypted data. CF (2019)
Fabian Boemer, Anamaria Costache, Rosario Cammarota, Casimir Wierzynski
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. CoRR (2019)
Fabian Boemer, Yixing Lao, Casimir Wierzynski
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data. CoRR (2018)
Fabian Boemer, Edward R. Ratner, Amaury Lendasse
Parameter-free image segmentation with SLIC. Neurocomputing 277 (2018)