Gilad Ezov

Researcher, International Business Machines

Joined

January 2023

Names

Gilad Ezov (Preferred)

Emails

****@ibm.com (Confirmed)

Personal Links

DBLP

ORCID

Semantic Scholar

Career & Education History

Researcher

International Business Machines (ibm.com)

2017 – Present

Undergrad student

Technion - Israel Institute of Technology, Technion (technion.ac.il)

2014 – 2018

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf
- ICML 2024 Poster
- Readers: Everyone
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 et al. (7 additional authors not shown)
- 2022 (modified: 25 Jan 2023)
- IEEE Access 2022
- Readers: Everyone
Data minimization for GDPR compliance in machine learning models
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
- 2022 (modified: 25 Jan 2023)
- AI Ethics 2022
- Readers: Everyone
Complex Encoded Tile Tensors: Accelerating Encrypted Analytics
Ehud Aharoni, Nir Drucker, Gilad Ezov, Hayim Shaul, Omri Soceanu
- 2022 (modified: 25 Jan 2023)
- IEEE Secur. Priv. 2022
- Readers: Everyone
Anonymizing Machine Learning Models
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
- 2021 (modified: 25 Jan 2023)
- DPM/CBT@ESORICS 2021
- Readers: Everyone
Reducing Risk of Model Inversion Using Privacy-Guided Training
Abigail Goldsteen, Gilad Ezov, Ariel Farkash
- 2020 (modified: 25 Jan 2023)
- CoRR 2020
- Readers: Everyone
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
- 2020 (modified: 25 Jan 2023)
- CoRR 2020
- Readers: Everyone
Data Minimization for GDPR Compliance in Machine Learning Models
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
- 2020 (modified: 25 Jan 2023)
- CoRR 2020
- Readers: Everyone
Anonymizing Machine Learning Models
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
- 2020 (modified: 25 Jan 2023)
- CoRR 2020
- Readers: Everyone

Co-Authors

View all 41 co-authors