Haim Kaplan

Haim Kaplan

I work on data structures, algorithms, computational geometry and machine learning. Right now my main focus is on online learning, reinforcement learning, and clustering. Typically my research is theoretical. I am also a faculty at the school of computer science of Tel Aviv University.

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Concurrent Shuffle Differential Privacy Under Continual Observation
Jay Tenenbaum
Haim Kaplan
Yishay Mansour
Uri Stemmer
ICML 23 (2023)
Black-Box Differential Privacy for Interactive ML
Haim Kaplan
Yishay Mansour
Shay Moran
Kobbi Nissim
Uri Stemmer
NeurIPS 2023
Differentially-Private Bayes Consistency
Olivier Bousquet
Haim Kaplan
Aryeh Kontorovich
Yishay Mansour
Uri Stemmer
Shay Moran
Menachem Sadigurschi
Archive, Archive, Archive
Monotone Learning
Olivier Bousquet
Amit Daniely
Haim Kaplan
Yishay Mansour
Shay Moran
Uri Stemmer
COLT 2022
Differentially Private Learning of Geometric Concepts
Haim Kaplan
Yishay Mansour
Yossi Matias
Uri Stemmer
SIAM J. Comput., 51(4) (2022), pp. 952-974
FriendlyCore: Practical Differentially Private Aggregation
Eliad Tsfadia
Edith Cohen
Haim Kaplan
Yishay Mansour
Uri Stemmer
ICML 2022
Differentially Private Learning of Geometric Concepts
Haim Kaplan
Yishay Mansour
Yossi Matias
Uri Stemmer
Siam J. on Computing (2022)
Dynamic Algorithms Against an Adaptive Adversary: Generic Constructions and Lower Bounds
Amos Beimel
Haim Kaplan
Yishay Mansour
Kobbi Nissim
Thatchaphol Saranurak
Uri Stemmer
STOC 2022
Adversarially Robust Streaming Algorithms via Differential Privacy
Avinatan Hassidim.
Haim Kaplan
Yishay Mansour
Yossi Matias
Uri Stemmer
Journal of the ACM, 69(6) (2022), pp. 1-14
Differentially Private Approximate Quantiles
Haim Kaplan
Shachar Schnapp
Uri Stemmer
ICML 2022
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