Nissim, Kobbi

14 publications

NeurIPS 2024 Credit Attribution and Stable Compression Roi Livni, Shay Moran, Kobbi Nissim, Chirag Pabbaraju

NeurIPS 2023 Adaptive Data Analysis in a Balanced Adversarial Model Kobbi Nissim, Uri Stemmer, Eliad Tsfadia

NeurIPS 2023 Black-Box Differential Privacy for Interactive ML Haim Kaplan, Yishay Mansour, Shay Moran, Kobbi Nissim, Uri Stemmer

NeurIPS 2023 Private Everlasting Prediction Moni Naor, Kobbi Nissim, Uri Stemmer, Chao Yan

JMLR 2020 Practical Locally Private Heavy Hitters Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Thakurta

JMLR 2019 Characterizing the Sample Complexity of Pure Private Learners Amos Beimel, Kobbi Nissim, Uri Stemmer

COLT 2019 Private Center Points and Learning of Halfspaces Amos Beimel, Shay Moran, Kobbi Nissim, Uri Stemmer

JMLR 2019 Simultaneous Private Learning of Multiple Concepts Mark Bun, Kobbi Nissim, Uri Stemmer

ALT 2018 Clustering Algorithms for the Centralized and Local Models Kobbi Nissim, Uri Stemmer

NeurIPS 2018 The Limits of Post-Selection Generalization Jonathan Ullman, Adam Smith, Kobbi Nissim, Uri Stemmer, Thomas Steinke

NeurIPS 2017 Practical Locally Private Heavy Hitters Raef Bassily, Kobbi Nissim, Uri Stemmer, Abhradeep Guha Thakurta

COLT 2016 Adaptive Learning with Robust Generalization Guarantees Rachel Cummings, Katrina Ligett, Kobbi Nissim, Aaron Roth, Zhiwei Steven Wu

AAAI 2015 Fair Information Sharing for Treasure Hunting Yiling Chen, Kobbi Nissim, Bo Waggoner

MLJ 2014 Bounds on the Sample Complexity for Private Learning and Private Data Release Amos Beimel, Hai Brenner, Shiva Prasad Kasiviswanathan, Kobbi Nissim