Moran Baruch

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Homomorphic Encryption

Top Venues

Proc. Priv. Enhancing Technol.

Publications

Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. CoRR (2023)
Moran Baruch, Nir Drucker, Gilad Ezov, Eyal Kushnir, Jenny Lerner, Omri Soceanu, Itamar Zimerman
Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption. CoRR (2023)
Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi K. Sarpatwar, Hayim Shaul, Omri Soceanu, Roman Vaculín
Efficient Pruning for Machine Learning Under Homomorphic Encryption. ESORICS (4) (2023)
Ehud Aharoni, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Guy Moshkowich, Dov Murik, Hayim Shaul, Omri Soceanu
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. Proc. Priv. Enhancing Technol. 2023 (1) (2023)
Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi K. Sarpatwar, Hayim Shaul, Omri Soceanu, Roman Vaculín
HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion. CoRR (2022)
Moran Baruch, Nir Drucker, Lev Greenberg, Guy Moshkowich
A Methodology for Training Homomorphic Encryption Friendly Neural Networks. ACNS Workshops (2022)
Moran Baruch, Lev Greenberg, Guy Moshkowich
Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN. CoRR (2021)
Ehud Aharoni, Allon Adir, Moran Baruch, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Dov Murik, Omri Soceanu
Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. CoRR (2020)
Moran Baruch, Gilad Baruch, Yoav Goldberg
A Little Is Enough: Circumventing Defenses For Distributed Learning. CoRR (2019)
Gilad Baruch, Moran Baruch, Yoav Goldberg
A Little Is Enough: Circumventing Defenses For Distributed Learning. NeurIPS (2019)
Felix Kreuk, Assi Barak, Shir Aviv-Reuven, Moran Baruch, Benny Pinkas, Joseph Keshet
Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection. CoRR (2018)