differential privacy

Two Views of Constrained Differential Privacy: Belief Revision and Update AAAI 2023 Unbounded Differentially Private Quantile and Maximum Estimation NeurIPS 2023 Unified Enhancement of Privacy Bounds for Mixture Mechanisms via f-Differential Privacy NeurIPS 2023 Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023 Unleashing the Power of Randomization in Auditing Differentially Private ML NeurIPS 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Why Is Public Pretraining Necessary for Private Model Training? ICML 2023 Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 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 Differential Privacy for Language Model Training ACL 2022 Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE AISTATS 2022 A Differentially Private Linear-Time fPTAS for the Minimum Enclosing Ball Problem NeurIPS 2022 A General Framework for Auditing Differentially Private Machine Learning NeurIPS 2022 A Joint Exponential Mechanism For Differentially Private Top-k ICML 2022 Algorithms for the Communication of Samples ICML 2022 Anonymized Histograms in Intermediate Privacy Models NeurIPS 2022 A Private and Computationally-Efficient Estimator for Unbounded Gaussians COLT 2022 Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions NeurIPS 2022 Balancing utility and scalability in metric differential privacy UAI 2022 Bayesian Pseudo Posterior Mechanism under Asymptotic Differential Privacy JMLR 2022 Better Private Algorithms for Correlation Clustering COLT 2022 Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms NeurIPS 2022 Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation IJCAI 2022