{"total":13,"rows":[{"id":"2507.06969","title":"Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy","created":"2025-07-09","cited_by_count":15,"area":null},{"id":"2306.03962","title":"PILLAR: How to make semi-private learning more effective","created":"2023-06-06","cited_by_count":10,"area":null},{"id":"2407.02191","title":"Attack-Aware Noise Calibration for Differential Privacy","created":"2024-07-02","cited_by_count":8,"area":null},{"id":"2503.02132","title":"Video-DPRP: A Differentially Private Approach for Visual Privacy-Preserving Video Human Activity Recognition","created":"2025-03-03","cited_by_count":3,"area":null},{"id":"2503.12314","title":"Empirical Privacy Variance","created":"2025-03-16","cited_by_count":3,"area":null},{"id":"2511.06305","title":"Setting $\\varepsilon$ is not the Issue in Differential Privacy","created":"2025-11-09","cited_by_count":3,"area":null},{"id":"2503.09338","title":"Investigating User Perspectives on Differentially Private Text Privatization","created":"2025-03-12","cited_by_count":1,"area":null},{"id":"2509.04290","title":"An Interactive Framework for Finding the Optimal Trade-off in Differential Privacy","created":"2025-09-04","cited_by_count":1,"area":null},{"id":"2601.22434","title":"Rethinking Anonymity Claims in Synthetic Data Generation: A Model-Centric Privacy Attack Perspective","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2303.15916","title":"From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification","created":"2023-03-28","cited_by_count":0,"area":null},{"id":"2410.16423","title":"Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government","created":"2024-10-21","cited_by_count":0,"area":null},{"id":"2411.11521","title":"Preempting Text Sanitization Utility in Resource-Constrained Privacy-Preserving LLM Interactions","created":"2024-11-18","cited_by_count":0,"area":null},{"id":"2512.01748","title":"SA-ADP: Sensitivity-Aware Adaptive Differential Privacy for Large Language Models","created":"2025-12-01","cited_by_count":0,"area":null}],"next_cursor":null}