objective perturbation

Exploiting Hidden Symmetry to Improve Objective Perturbation for DP Linear Learners with a Nonsmooth L1-Norm ICLR 2025 PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024 Differentially Private and Lazy Online Convex Optimization COLT 2023 Differentially Private Stochastic Convex Optimization under a Quantile Loss Function ICML 2023 Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners NeurIPS 2023 Privately Publishable Per-instance Privacy NeurIPS 2021 Oracle Efficient Private Non-Convex Optimization ICML 2020 Data Poisoning against Differentially-Private Learners: Attacks and Defenses IJCAI 2019 Differentially Private Community Detection in Attributed Social Networks ACML 2019 KNG: The K-Norm Gradient Mechanism NeurIPS 2019 Private Convex Empirical Risk Minimization and High-dimensional Regression COLT 2012 Differentially Private Empirical Risk Minimization JMLR 2011