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Indiscriminate Data Poisoning Attacks on Pre-trained Feature Extractors
A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions
Not All Learnable Distribution Classes are Privately Learnable
Sorting and Selection in Rounds with Adversarial Comparisons
Distribution Learnability and Robustness
Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
Private Distribution Learning with Public Data: The View from Sample Compression
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
Robustness Implies Privacy in Statistical Estimation
New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma
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