{"total":23,"rows":[{"id":"2212.05015","title":"Robustness Implies Privacy in Statistical Estimation","created":"2022-12-09","cited_by_count":47,"area":null},{"id":"2302.01855","title":"From Robustness to Privacy and Back","created":"2023-02-03","cited_by_count":27,"area":null},{"id":"2302.04787","title":"On the Privacy-Robustness-Utility Trilemma in Distributed Learning","created":"2023-02-09","cited_by_count":24,"area":null},{"id":"2303.04288","title":"Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models","created":"2023-03-07","cited_by_count":19,"area":null},{"id":"2301.13334","title":"A Bias-Accuracy-Privacy Trilemma for Statistical Estimation","created":"2023-01-30","cited_by_count":12,"area":null},{"id":"2405.15599","title":"On the Computational Landscape of Replicable Learning","created":"2024-05-24","cited_by_count":7,"area":null},{"id":"2302.02526","title":"On Private and Robust Bandits","created":"2023-02-06","cited_by_count":6,"area":null},{"id":"2304.06787","title":"A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions","created":"2023-04-13","cited_by_count":5,"area":null},{"id":"2309.03847","title":"Mixtures of Gaussians are Privately Learnable with a Polynomial Number of Samples","created":"2023-09-07","cited_by_count":5,"area":null},{"id":"2405.15084","title":"Efficient Certificates of Anti-Concentration Beyond Gaussians","created":"2024-05-23","cited_by_count":4,"area":null},{"id":"2406.17814","title":"Distribution Learnability and Robustness","created":"2024-06-25","cited_by_count":4,"area":null},{"id":"2412.21203","title":"SoS Certificates for Sparse Singular Values and Their Applications: Robust Statistics, Subspace Distortion, and More","created":"2024-12-30","cited_by_count":3,"area":null},{"id":"2405.16663","title":"Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust","created":"2024-05-26","cited_by_count":2,"area":null},{"id":"2407.04783","title":"Agnostic Private Density Estimation for GMMs via List Global Stability","created":"2024-07-05","cited_by_count":2,"area":null},{"id":"2412.02670","title":"The Broader Landscape of Robustness in Algorithmic Statistics","created":"2024-12-03","cited_by_count":2,"area":null},{"id":"2502.18698","title":"Tukey Depth Mechanisms for Practical Private Mean Estimation","created":"2025-02-25","cited_by_count":2,"area":null},{"id":"2503.24321","title":"Sample-Optimal Private Regression in Polynomial Time","created":"2025-03-31","cited_by_count":2,"area":null},{"id":"2511.19398","title":"PTF Testing Lower Bounds for Non-Gaussian Component Analysis","created":"2025-11-24","cited_by_count":2,"area":null},{"id":"2406.04868","title":"Perturb-and-Project: Differentially Private Similarities and Marginals","created":"2024-06-07","cited_by_count":1,"area":null},{"id":"2508.15051","title":"Robust Estimation Under Heterogeneous Corruption Rates","created":"2025-08-20","cited_by_count":1,"area":null},{"id":"2603.18254","title":"Computation-Utility-Privacy Tradeoffs in Bayesian Estimation","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2212.08018","title":"Privately Estimating a Gaussian: Efficient, Robust and Optimal","created":"2022-12-15","cited_by_count":0,"area":null},{"id":"2602.09499","title":"Computationally Efficient Replicable Learning of Parities and Applications","created":"2026-02-10","cited_by_count":0,"area":null}],"next_cursor":null}