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Gilad Ezov
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2020 – today
- 2023
- [j4]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): 325-342 (2023) - [c2]Ehud Aharoni
, Nir Drucker
, Gilad Ezov
, Eyal Kushnir
, Hayim Shaul
, Omri Soceanu
:
Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. CCS 2023: 3567-3569 - [i7]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 abs/2304.14836 (2023) - [i6]Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf:
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. CoRR abs/2311.08610 (2023) - [i5]Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu:
E2E near-standard and practical authenticated transciphering. IACR Cryptol. ePrint Arch. 2023: 1040 (2023) - 2022
- [j3]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: 124747-124765 (2022) - [j2]Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Data minimization for GDPR compliance in machine learning models. AI Ethics 2(3): 477-491 (2022) - [j1]Ehud Aharoni
, Nir Drucker
, Gilad Ezov
, Hayim Shaul
, Omri Soceanu
:
Complex Encoded Tile Tensors: Accelerating Encrypted Analytics. IEEE Secur. Priv. 20(5): 35-43 (2022) - 2021
- [c1]Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Anonymizing Machine Learning Models. DPM/CBT@ESORICS 2021: 121-136 - 2020
- [i4]Abigail Goldsteen, Gilad Ezov, Ariel Farkash:
Reducing Risk of Model Inversion Using Privacy-Guided Training. CoRR abs/2006.15877 (2020) - [i3]Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Anonymizing Machine Learning Models. CoRR abs/2007.13086 (2020) - [i2]Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Data Minimization for GDPR Compliance in Machine Learning Models. CoRR abs/2008.04113 (2020) - [i1]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 abs/2011.01805 (2020)
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