nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data. - Fabian Boemer; Yixing Lao; Casimir Wierzynski (CoRR, 2018)

Parameter-free image segmentation with SLIC. - Fabian Boemer; Edward R. Ratner; Amaury Lendasse (Neurocomputing, 2018)

nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data. - Fabian Boemer; Anamaria Costache; Rosario Cammarota; Casimir Wierzynski (IACR Cryptol. ePrint Arch., 2019)

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data. - Fabian Boemer; Yixing Lao; Rosario Cammarota; Casimir Wierzynski (IACR Cryptol. ePrint Arch., 2019)

Developing Privacy-preserving AI Systems: The Lessons learned. - Huili Chen; Siam Umar Hussain; Fabian Boemer; Emmanuel Stapf; Ahmad-Reza Sadeghi; Farinaz Koushanfar; Rosario Cammarota (DAC, 2020)

Trustworthy AI Inference Systems: An Industry Research View. - Rosario Cammarota; Matthias Schunter; Anand Rajan; Fabian Boemer; Ágnes Kiss; Amos Treiber; Christian Weinert; Thomas Schneider 003; Emmanuel Stapf; Ahmad-Reza Sadeghi; Daniel Demmler; Huili Chen; et al. (CoRR, 2020)

MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. - Fabian Boemer; Rosario Cammarota; Daniel Demmler; Thomas Schneider 003; Hossein Yalame (IACR Cryptol. ePrint Arch., 2020)

Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52. - Fabian Boemer; Sejun Kim; Gelila Seifu; Fillipe D. M. de Souza; Vinodh Gopal (IACR Cryptol. ePrint Arch., 2021)

Accelerating Encrypted Computing on Intel GPUs. - Yujia Zhai; Mohannad Ibrahim; Yiqin Qiu; Fabian Boemer; Zizhong Chen; Alexey Titov; Alexander Lyashevsky (IPDPS, 2022)

Enabling Homomorphically Encrypted Inference for Large DNN Models. - Guillermo Lloret-Talavera; Marc Jordà; Harald Servat; Fabian Boemer; Chetan Chauhan; Shigeki Tomishima; Nilesh N. Shah; Antonio J. Peña (IEEE Trans. Computers, 2022)

Scalable Private Search with Wally. - Hilal Asi; Fabian Boemer; Nicholas Genise; Muhammad Haris Mughees; Tabitha Ogilvie; Rehan Rishi; Guy N. Rothblum; Kunal Talwar; Karl Tarbe; Ruiyu Zhu; Marco Zuliani (CoRR, 2024)