Gilad Ezov

According to our database, Gilad Ezov authored at least 12 papers between 2020 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

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

Proceedings of the Cyber Security, Cryptology, and 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

E2E near-standard and practical authenticated transciphering.

Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu

IACR Cryptol. ePrint Arch., 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

Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption.

Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Complex Encoded Tile Tensors: Accelerating Encrypted Analytics.

Ehud Aharoni, Nir Drucker, Gilad Ezov, Hayim Shaul, Omri Soceanu

IEEE Secur. Priv., 2022

Data minimization for GDPR compliance in machine learning models.

Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash

AI Ethics, 2022

Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned.

George Bravos, Antonio J. Cabrera, Camilo Correa, Dragan Danilovic, Nikolaos Evangeliou, Gilad Ezov, Zoran Gajica, Dusan Jakovetic, Leonidas Kallipolitis, Milan Lukic, Julien-Etienne Mascolo, Davide Masera, Raúl Mazo, Ivan Mezei, Andreas I. Miaoudakis, Nemanja Milosevic, William Oliff, Jacques Robin, Michail Smyrlis, Georgia Sakellari, Giorgos Stamatis, Dusan Stamenkovic, Srdan Skrbic, Carine Souveyet, Spyridon Vantolas, Giorgos Vasiliadis, Dejan Vukobratovic

IEEE Access, 2022

2021

Anonymizing Machine Learning Models.

Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash

Proceedings of the Data Privacy Management, Cryptocurrencies and Blockchain Technology, 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

Reducing Risk of Model Inversion Using Privacy-Guided Training.

Abigail Goldsteen, Gilad Ezov, Ariel Farkash

CoRR, 2020