{"total":14,"rows":[{"id":"2202.08312","title":"Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams","created":"2022-02-16","cited_by_count":59,"area":null},{"id":"2211.05006","title":"Almost Tight Error Bounds on Differentially Private Continual Counting","created":"2022-11-09","cited_by_count":26,"area":null},{"id":"2202.11205","title":"Constant matters: Fine-grained Complexity of Differentially Private Continual Observation","created":"2022-02-23","cited_by_count":23,"area":null},{"id":"2307.08970","title":"A Unifying Framework for Differentially Private Sums under Continual Observation","created":"2023-07-18","cited_by_count":15,"area":null},{"id":"2306.09666","title":"A Smooth Binary Mechanism for Efficient Private Continual Observation","created":"2023-06-16","cited_by_count":12,"area":null},{"id":"2402.08012","title":"Online Differentially Private Synthetic Data Generation","created":"2024-02-12","cited_by_count":4,"area":null},{"id":"2504.04398","title":"Binned Group Algebra Factorization for Differentially Private Continual Counting","created":"2025-04-06","cited_by_count":3,"area":null},{"id":"2301.12535","title":"Concurrent Shuffle Differential Privacy Under Continual Observation","created":"2023-01-29","cited_by_count":2,"area":null},{"id":"2307.03430","title":"Differential Privacy for Clustering Under Continual Observation","created":"2023-07-07","cited_by_count":2,"area":null},{"id":"2506.15018","title":"Private Continual Counting of Unbounded Streams","created":"2025-06-17","cited_by_count":2,"area":null},{"id":"2310.07852","title":"On the Computational Complexity of Private High-dimensional Model Selection","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2405.13375","title":"Adaptive Data Analysis for Growing Data","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2306.15865","title":"Differentially Private Distributed Estimation and Learning","created":"2023-06-28","cited_by_count":0,"area":null},{"id":"2605.18379","title":"Beyond Square Roots: A Memory-Efficient Explicit Factorization for Multi-Epoch Private Learning","created":"2026-05-18","cited_by_count":0,"area":null}],"next_cursor":null}