Moran Baruch

According to our database, Moran Baruch authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption.

Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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., January, 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

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

Proceedings of the Computer Security - ESORICS 2023, 2023

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

A Methodology for Training Homomorphic Encryption Friendly Neural Networks.

Moran Baruch, Nir Drucker, Lev Greenberg, Guy Moshkowich

Proceedings of the Applied Cryptography and Network Security Workshops, 2022

2021

Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN.

Moran Baruch, Lev Greenberg, Guy Moshkowich

CoRR, 2021

2020

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

2019

A Little Is Enough: Circumventing Defenses For Distributed Learning.

Gilad Baruch, Moran Baruch, Yoav Goldberg

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

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