Tsfadia, Eliad

6 publications

NeurIPS 2024 On Differentially Private Subspace Estimation in a Distribution-Free Setting Eliad Tsfadia

COLT 2024 Smooth Lower Bounds for Differentially Private Algorithms via Padding-and-Permuting Fingerprinting Codes Naty Peter, Eliad Tsfadia, Jonathan Ullman

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

ICML 2022 FriendlyCore: Practical Differentially Private Aggregation Eliad Tsfadia, Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer

ICML 2021 Differentially-Private Clustering of Easy Instances Edith Cohen, Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia

NeurIPS 2020 Private Learning of Halfspaces: Simplifying the Construction and Reducing the Sample Complexity Haim Kaplan, Yishay Mansour, Uri Stemmer, Eliad Tsfadia