Moran Baruch - RankMe

16 papers A* 2Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Efficient Decoding Methods for Language Models on Encrypted Data. IJCNLP-AACL (Findings) Matan Avitan, Moran Baruch, Nir Drucker, Itamar Zimerman, Yoav Goldberg
2025	J	`jnl`	Efficient Decoding Methods for Language Models on Encrypted Data. CoRR Matan Avitan, Moran Baruch, Nir Drucker, Itamar Zimerman, Yoav Goldberg
2024	A*	`conf`	Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. ICML Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf
2024	—	`conf`	Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference. CSCML Moran Baruch, Nir Drucker, Gilad Ezov, Yoav Goldberg, Eyal Kushnir, Jenny Lerner, Omri Soceanu, Itamar Zimerman
2024	J	`jnl`	Power-Softmax: Towards Secure LLM Inference over Encrypted Data. CoRR Itamar Zimerman, Allon Adir, Ehud Aharoni, Matan Avitan, Moran Baruch, Nir Drucker, Jenny Lerner, Ramy Masalha, Reut Meiri, Omri Soceanu
2023	J	`jnl`	Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. CoRR Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf
2023	—	`conf`	Efficient Pruning for Machine Learning Under Homomorphic Encryption. ESORICS (4) Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi K. Sarpatwar, Hayim Shaul, Omri Soceanu, Roman Vaculín
2023	J	`jnl`	HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. Proc. Priv. Enhancing Technol. Ehud Aharoni, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Guy Moshkowich, Dov Murik, Hayim Shaul, Omri Soceanu
2023	J	`jnl`	Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption. CoRR Moran Baruch, Nir Drucker, Gilad Ezov, Eyal Kushnir, Jenny Lerner, Omri Soceanu, Itamar Zimerman
2022	—	`conf`	A Methodology for Training Homomorphic Encryption Friendly Neural Networks. ACNS Workshops Moran Baruch, Nir Drucker, Lev Greenberg, Guy Moshkowich
2022	J	`jnl`	HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion. CoRR Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi K. Sarpatwar, Hayim Shaul, Omri Soceanu, Roman Vaculín
2021	J	`jnl`	Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN. CoRR Moran Baruch, Lev Greenberg, Guy Moshkowich
2020	J	`jnl`	Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. CoRR Ehud Aharoni, Allon Adir, Moran Baruch, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Dov Murik, Omri Soceanu
2019	A*	`conf`	A Little Is Enough: Circumventing Defenses For Distributed Learning. NeurIPS Gilad Baruch, Moran Baruch, Yoav Goldberg
2019	J	`jnl`	A Little Is Enough: Circumventing Defenses For Distributed Learning. CoRR Moran Baruch, Gilad Baruch, Yoav Goldberg
2018	J	`jnl`	Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection. CoRR Felix Kreuk, Assi Barak, Shir Aviv-Reuven, Moran Baruch, Benny Pinkas, Joseph Keshet