Differential Privacy

The Test of Tests: A Framework for Differentially Private Hypothesis Testing ICML 2023 Trade-Offs Between Fairness and Privacy in Language Modeling ACL 2023 Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 XRand: Differentially Private Defense against Explanation-Guided Attacks AAAI 2023 A bounded-noise mechanism for differential privacy COLT 2022 Adaptive Data Analysis with Correlated Observations ICML 2022 Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE AISTATS 2022 A General Framework for Auditing Differentially Private Machine Learning NeurIPS 2022 A Joint Exponential Mechanism For Differentially Private Top-k ICML 2022 Anonymized Histograms in Intermediate Privacy Models NeurIPS 2022 A Private and Computationally-Efficient Estimator for Unbounded Gaussians COLT 2022 Asymptotically Optimal Locally Private Heavy Hitters via Parameterized Sketches AISTATS 2022 Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy JMLR 2022 Better Private Algorithms for Correlation Clustering COLT 2022 Bring Your Own Algorithm for Optimal Differentially Private Stochastic Minimax Optimization NeurIPS 2022 Composition Theorems for Interactive Differential Privacy NeurIPS 2022 Differentially Private Approximate Quantiles ICML 2022 Differentially Private Community Detection for Stochastic Block Models ICML 2022 Differentially Private Coordinate Descent for Composite Empirical Risk Minimization ICML 2022 Differentially Private Densest Subgraph AISTATS 2022 Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022 Differentially Private Fine-tuning of Language Models ICLR 2022 Differentially Private Fractional Frequency Moments Estimation with Polylogarithmic Space ICLR 2022 Differentially Private Generalized Linear Models Revisited NeurIPS 2022