PhD student, Blavatnik school of CS
Tel Aviv University
I am a PhD candidate in the Blavatnik School of Computer Science at Tel Aviv University. I am very fortunate to be advised by Dr. Uri Stemmer and by Prof. Edith Cohen.
Data privacy, Algorithms, Adaptive data analysis.
Our paper on relaxed models for adversarial streaming got accepted to ESA'23! 🕺
Presented our framework for adversarial streaming at ITCS'23. Check out my 25-min prerecorded presentation: ▶️
I gave a talk at HUJI machine learning club about adversarial streaming. ▶️
 Relaxed Models for Adversarial Streaming: The Advice Model and the Bounded Interruptions Model Menachem Sadigurschi, Moshe Shechner, Uri Stemmer ESA 2023
 On the Robustness of CountSketch to Adaptive Inputs Edith Cohen, Xin Lyu, Jelani Nelson, Tamás Sarlós, Moshe Shechner, Uri Stemmer 👨🏫 ICML 2022
 A Framework for adversarial Streaming via Differential Privacy and Difference Estimators Idan Attias, Edith Cohen, Moshe Shechner, Uri Stemmer
👨🏫 ITCS 2023
 Differentially Private Algorithms for Clustering with Stability Assumptions Moshe Shechner Thesis submitted in partial fulfillment of the requirements for the M. Sc. degree in the Faculty of Natural Sciences of Ben Gurion University.
 Private k-Means Clustering with Stability Assumptions Moshe Shechner, Or Sheffet, Uri Stemmer AISTATS 2020