{"total":15,"rows":[{"id":"2406.13985","title":"The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging","created":"2024-06-20","cited_by_count":13,"area":null},{"id":"2506.06108","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","created":"2025-06-06","cited_by_count":9,"area":null},{"id":"2503.04980","title":"A Consensus Privacy Metrics Framework for Synthetic Data","created":"2025-03-06","cited_by_count":8,"area":null},{"id":"2504.06923","title":"The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data","created":"2025-04-09","cited_by_count":5,"area":null},{"id":"2412.14396","title":"Fingerprinting Codes Meet Geometry: Improved Lower Bounds for Private Query Release and Adaptive Data Analysis","created":"2024-12-18","cited_by_count":3,"area":null},{"id":"2506.00322","title":"dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation","created":"2025-05-31","cited_by_count":3,"area":null},{"id":"2410.19941","title":"Privacy without Noisy Gradients: Slicing Mechanism for Generative Model Training","created":"2024-10-25","cited_by_count":2,"area":null},{"id":"2510.03021","title":"Differentially Private Wasserstein Barycenters","created":"2025-10-03","cited_by_count":2,"area":null},{"id":"2407.16929","title":"Synthetic Data, Similarity-based Privacy Metrics, and Regulatory (Non-)Compliance","created":"2024-07-24","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":"2410.19012","title":"Privacy-Computation trade-offs in Private Repetition and Metaselection","created":"2024-10-22","cited_by_count":0,"area":null},{"id":"2506.12203","title":"Private Continuous-Time Synthetic Trajectory Generation via Mean-Field Langevin Dynamics","created":"2025-06-13","cited_by_count":0,"area":null},{"id":"2601.06368","title":"From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum","created":"2026-01-10","cited_by_count":0,"area":null},{"id":"2602.03791","title":"Should I use Synthetic Data for That? An Analysis of the Suitability of Synthetic Data for Data Sharing and Augmentation","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2604.07493","title":"Differentially Private Modeling of Disease Transmission within Human Contact Networks","created":"2026-04-08","cited_by_count":0,"area":null}],"next_cursor":null}