Itay Safran
Scholar

Itay Safran

Google Scholar ID: nzS2jrMAAAAJ
Assistant Professor of Computer Science, Ben-Gurion University of the Negev
Machine LearningDeep Learning TheoryOptimizationStatistical Learning Theory
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Citations & Impact
All-time
Citations
926
 
H-index
11
 
i10-index
11
 
Publications
15
 
Co-authors
13
list available
Contact
No contact links provided.
Publications
6 items
On the Rate of Convergence of GD in Non-linear Neural Networks: An Adversarial Robustness Perspective
2026
Cited
0
The Median is Easier than it Looks: Approximation with a Constant-Depth, Linear-Width ReLU Network
2026
Cited
0
To Grok Grokking: Provable Grokking in Ridge Regression
2026
Cited
0
A Depth Hierarchy for Computing the Maximum in ReLU Networks via Extremal Graph Theory
arXiv.org · 2026
Cited
0
No Prior, No Leakage: Revisiting Reconstruction Attacks in Trained Neural Networks
2025
Cited
0
Provable Privacy Attacks on Trained Shallow Neural Networks
arXiv.org · 2024
Cited
0
Resume (English only)
Co-authors
13 total
Ohad Shamir
Ohad Shamir
Weizmann Institute of Science
Jason D. Lee
Jason D. Lee
Associate Professor of EECS & Statistics at UC Berkeley
Co-author 3
Co-author 3
Eyal Ronen
Eyal Ronen
Tel Aviv University
Orr Dunkelman
Orr Dunkelman
Computer Science Dept., University of Haifa, Israel
Gal Vardi
Gal Vardi
Weizmann Institute of Science
Gilad Yehudai
Gilad Yehudai
Postdoctoral Associate, New York University
Daniel Reichman
Daniel Reichman
Worcester Polytechnic Institute