Gilad Ezov

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 13

Top Topics

Homomorphic Encryption

Top Venues

IACR Cryptol. ePrint Arch.

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, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu
Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. CCS (2023)
Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu
E2E near-standard and practical authenticated transciphering. IACR Cryptol. ePrint Arch. 2023 (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)
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
Cybersecurity for Industrial Internet of Things: Architecture, Models and Lessons Learned. IEEE Access 10 (2022)
Ehud Aharoni, Nir Drucker, Gilad Ezov, Hayim Shaul, Omri Soceanu
Complex Encoded Tile Tensors: Accelerating Encrypted Analytics. IEEE Secur. Priv. 20 (5) (2022)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Data minimization for GDPR compliance in machine learning models. AI Ethics 2 (3) (2022)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Anonymizing Machine Learning Models. DPM/CBT@ESORICS (2021)
Abigail Goldsteen, Gilad Ezov, Ariel Farkash
Reducing Risk of Model Inversion Using Privacy-Guided Training. CoRR (2020)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Anonymizing Machine Learning Models. CoRR (2020)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Data Minimization for GDPR Compliance in Machine Learning Models. CoRR (2020)
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)