Uri Stemmer

Uri Stemmer

I am interested in privacy-preserving data analysis, computational learning theory, and algorithms. Typically my research is theoretical. I am also a faculty member at the school of computer science of Tel Aviv University.

Research Areas

Authored Publications
0 results

Sort By
  • Title
  • Title, descending
  • Year
  • Year, descending
    Google
Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries
Edith Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
COLT 2024
Private Truly-Everlasting Robust-Prediction
Uri Stemmer
ICML 2024
MPC for Tech Giants (GMPC): Enabling Gulliver and the Lilliputians to Cooperate Amicably
Bar Alon
Moni Naor
Eran Omri
Uri Stemmer
CRYPTO 2024
Õptimal Differentially Private Learning of Thresholds and Quasi-Concave Optimization
Edith Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
STOC 2023
Black-Box Differential Privacy for Interactive ML
Haim Kaplan
Yishay Mansour
Shay Moran
Kobbi Nissim
Uri Stemmer
NeurIPS 2023
On Differential Privacy and Adaptive Data Analysis with Bounded Space
Itai Dinur
Uri Stemmer
David Woodruff
Samson Zhou
Eurocrypt 2023
Relaxed Models for Adversarial Streaming: The Bounded Interruptions Model and the Advice Model
Menachem Sadigurschi
Moshe Shechner
Uri Stemmer
ESA 2023
Generalized Private Selection and Testing with High Confidence
Edith Cohen
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
ITCS 2023
Tricking the Hashing Trick: A Tight Lower Bound on the Robustness of CountSketch to Adaptive Inputs
Edith Cohen
Jelani Nelson
Tamas Sarlos
Uri Stemmer
AAAI 2023
Private Everlasting Prediction
Moni Naor
Kobbi Nissim
Uri Stemmer
Chao Yan
NeurIPS 2023
Search on Google Scholar