Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection. - Felix Kreuk; Assi Barak; Shir Aviv-Reuven; Moran Baruch; Benny Pinkas; Joseph Keshet (CoRR, 2018)

A Little Is Enough: Circumventing Defenses For Distributed Learning. - Gilad Baruch; Moran Baruch; Yoav Goldberg (NeurIPS, 2019)

Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. - Ehud Aharoni; Allon Adir; Moran Baruch; Gilad Ezov; Ariel Farkash; Lev Greenberg; Ramy Masalha; Dov Murik; Omri Soceanu (CoRR, 2020)

Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN. - Moran Baruch; Lev Greenberg; Guy Moshkowich (CoRR, 2021)

A Methodology for Training Homomorphic Encryption Friendly Neural Networks. - Moran Baruch; Nir Drucker; Lev Greenberg; Guy Moshkowich (ACNS Workshops, 2022)

HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion. - Ehud Aharoni; Moran Baruch; Pradip Bose; Alper Buyuktosunoglu; Nir Drucker; Subhankar Pal; Tomer Pelleg; Kanthi K. Sarpatwar; Hayim Shaul; Omri Soceanu; Roman Vaculín (CoRR, 2022)

Efficient Pruning for Machine Learning Under Homomorphic Encryption. - Ehud Aharoni; Moran Baruch; Pradip Bose; Alper Buyuktosunoglu; Nir Drucker; Subhankar Pal; Tomer Pelleg; Kanthi K. Sarpatwar; Hayim Shaul; Omri Soceanu; Roman Vaculín (ESORICS (4), 2023)

Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption. - Moran Baruch; Nir Drucker; Gilad Ezov; Eyal Kushnir; Jenny Lerner; Omri Soceanu; Itamar Zimerman (CoRR, 2023)

HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. - Ehud Aharoni; Allon Adir; Moran Baruch; Nir Drucker; Gilad Ezov; Ariel Farkash; Lev Greenberg; Ramy Masalha; Guy Moshkowich; Dov Murik; Hayim Shaul; Omri Soceanu (Proc. Priv. Enhancing Technol., 2023)

Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference. - Moran Baruch; Nir Drucker; Gilad Ezov; Yoav Goldberg; Eyal Kushnir; Jenny Lerner; Omri Soceanu; Itamar Zimerman (CSCML, 2024)

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. - Itamar Zimerman; Moran Baruch; Nir Drucker; Gilad Ezov; Omri Soceanu; Lior Wolf (ICML, 2024)

Power-Softmax: Towards Secure LLM Inference over Encrypted Data. - Itamar Zimerman; Allon Adir; Ehud Aharoni; Matan Avitan; Moran Baruch; Nir Drucker; Jenny Lerner; Ramy Masalha; Reut Meiri; Omri Soceanu (CoRR, 2024)