Distribution Learnability and Robustness

25 June 2024

Papers citing "Distribution Learnability and Robustness"

9 / 9 papers shown

Title
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks Yiwei Lu Gautam Kamath Yaoliang Yu AAML 37 18 0 07 Mar 2023
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation Kristian Georgiev Samuel B. Hopkins FedML 28 21 0 01 Nov 2022
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma Gautam Kamath Argyris Mouzakis Vikrant Singhal FedML 24 26 0 17 May 2022
Realizable Learning is All You Need Max Hopkins D. Kane Shachar Lovett G. Mahajan 99 22 0 08 Nov 2021
A Private and Computationally-Efficient Estimator for Unbounded Gaussians Gautam Kamath Argyris Mouzakis Vikrant Singhal Thomas Steinke Jonathan R. Ullman 50 39 0 08 Nov 2021
Robust and Differentially Private Mean Estimation Xiyang Liu Weihao Kong Sham Kakade Sewoong Oh OOD FedML 37 75 0 18 Feb 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians Ishaq Aden-Ali H. Ashtiani Gautam Kamath 32 41 0 19 Oct 2020
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 62 147 0 01 May 2018
Learning mixtures of structured distributions over discrete domains Siu On Chan Ilias Diakonikolas Rocco A. Servedio Xiaorui Sun 59 83 0 02 Oct 2012