A methodology for training homomorphicencryption friendly neural networks

5 November 2021

Papers citing "A methodology for training homomorphicencryption friendly neural networks"

7 / 7 papers shown

Title
MIND: Modality-Informed Knowledge Distillation Framework for Multimodal Clinical Prediction Tasks Alejandro Guerra-Manzanares Farah E. Shamout 56 0 0 03 Feb 2025
Power-Softmax: Towards Secure LLM Inference over Encrypted Data Itamar Zimerman Allon Adir E. Aharoni Matan Avitan Moran Baruch Nir Drucker Jenny Lerner Ramy Masalha Reut Meiri Omri Soceanu 25 2 0 12 Oct 2024
Batch-oriented Element-wise Approximate Activation for Privacy-Preserving Neural Networks Peng Zhang Ao Duan Xianglu Zou Yuhong Liu 14 0 0 16 Mar 2024
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption Itamar Zimerman Moran Baruch Nir Drucker Gilad Ezov Omri Soceanu Lior Wolf 16 14 0 15 Nov 2023
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption Moran Baruch Nir Drucker Gilad Ezov Yoav Goldberg Eyal Kushnir Jenny Lerner Omri Soceanu Itamar Zimerman 49 6 0 26 Apr 2023
Privacy-preserving machine learning for healthcare: open challenges and future perspectives Alejandro Guerra-Manzanares L. J. L. Lopez Michail Maniatakos Farah E. Shamout 15 9 0 27 Mar 2023
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data E. Aharoni Allon Adir Moran Baruch Nir Drucker Gilad Ezov ... Ramy Masalha Guy Moshkowich Dov Murik Hayim Shaul Omri Soceanu FedML 6 55 0 03 Nov 2020