I am a researcher. I work in theoretical computer science, and I'm especially fascinated with computational and statistical learning theory.
I am currently a postdoctoral associate at MIT, hosted by Vinod Vaikuntanathan. Previously, I earned a PhD from UC Berkeley advised by Shafi Goldwasser, and an MSc from Tel Aviv University advised by Amir Shpilka and Amir Yehudayoff. I completed my undergraduate studies at the Lautman Interdisciplinary Program.
Oblivious Defense in ML Models: Backdoor Removal without Detection
With Shafi Goldwasser, Neekon Vafa and Vinod Vaikuntanathan
Which Algorithms Have Tight Generalization Bounds?
With Michael Gastpar, Ido Nachum and Thomas Weinberger
Fantastic Generalization Measures are Nowhere to be Found
With Michael Gastpar, Ido Nachum and Thomas Weinberger
A Trichotomy for Transductive Online Learning
With Steve Hanneke and Shay Moran
With Shay Moran and Hilla Schefler
Fine-Grained Distribution-Dependent Learning Curves
With Olivier Bousquet, Steve Hanneke, Shay Moran and Ilya Tolstikhin
PAC Verification of Statistical Algorithms
With Saachi Mutreja
Interactive Proofs for Verifying Machine Learning
With Shafi Goldwasser, Guy Rothblum and Amir Yehudayoff
A Direct Sum Result for the Information Complexity of Learning
With Ido Nachum and Amir Yehudayoff
Learners that Use Little Information
With Raef Bassily, Shay Moran, Ido Nachum, and Amir Yehudayoff
Computational Learning Theory
Co-Instructor
UC Berkeley, CS 294-220, Spring 2021
Computability and Complexity
Teaching Assistant
UC Berkeley, CS 172, Spring 2019
Algorithms for Computational Linguistics
Instructor
Tel Aviv University, 0627-2235-01, Spring 2017
Replaced a professor that was on sabbatical
Computational Linguistics for Beginners
Teaching Assistant
Tel Aviv University, 0627-2221-01, Spring 2016
Advanced Computational Linguistics
Teaching Assistant
Tel Aviv University, 0627-4090-02, Fall 2015