{"total":14,"rows":[{"id":"2506.06108","title":"Synthetic Tabular Data: Methods, Attacks and Defenses","created":"2025-06-06","cited_by_count":9,"area":null},{"id":"2510.18232","title":"ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control","created":"2025-10-21","cited_by_count":3,"area":null},{"id":"2506.08312","title":"Private Evolution Converges","created":"2025-06-10","cited_by_count":2,"area":null},{"id":"2510.16974","title":"Differentially Private Linear Regression and Synthetic Data Generation with Statistical Guarantees","created":"2025-10-19","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":"2602.02766","title":"Privately Fine-Tuned LLMs Preserve Temporal Dynamics in Tabular Data","created":"2026-02-02","cited_by_count":1,"area":null},{"id":"2602.05838","title":"FHAIM: Fully Homomorphic AIM For Private Synthetic Data Generation","created":"2026-02-05","cited_by_count":1,"area":null},{"id":"2604.18352","title":"Tight Auditing of Differential Privacy in MST and AIM","created":"2026-04-20","cited_by_count":1,"area":null},{"id":"2511.13893","title":"Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis","created":"2025-11-17","cited_by_count":0,"area":null},{"id":"2604.15461","title":"Evaluating LLM Simulators as Differentially Private Data Generators","created":"2026-04-16","cited_by_count":0,"area":null},{"id":"2606.01849","title":"ContinuousBench: Can Differentially Private Synthetic Text Improve Capabilities?","created":"2026-06-01","cited_by_count":0,"area":null},{"id":"2609.00708","title":"Differentially Private Paired Table-Image Multimodal Synthesis","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.39630","title":"PEG-Tab: Sampling-Time Record Repair and Release Control for Tabular Synthesis","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.17249","title":"Tight End-to-End Accounting for Differentially Private Synthetic Data","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}