{"total":15,"rows":[{"id":"2301.07014","title":"Dataset Distillation: A Comprehensive Review","created":"2023-01-17","cited_by_count":127,"area":null},{"id":"2301.05603","title":"A Comprehensive Survey of Dataset Distillation","created":"2023-01-13","cited_by_count":115,"area":null},{"id":"2305.01975","title":"A Survey on Dataset Distillation: Approaches, Applications and Future Directions","created":"2023-05-03","cited_by_count":32,"area":null},{"id":"2407.14245","title":"Dataset Distillation by Automatic Training Trajectories","created":"2024-07-19","cited_by_count":26,"area":null},{"id":"2502.05673","title":"The Evolution of Dataset Distillation: Toward Scalable and Generalizable Solutions","created":"2025-02-08","cited_by_count":26,"area":null},{"id":"2401.15863","title":"Importance-Aware Adaptive Dataset Distillation","created":"2024-01-29","cited_by_count":18,"area":null},{"id":"2407.11025","title":"Backdoor Graph Condensation","created":"2024-07-03","cited_by_count":5,"area":null},{"id":"2411.15796","title":"Data Lineage Inference: Uncovering Privacy Vulnerabilities of Dataset Pruning","created":"2024-11-24","cited_by_count":5,"area":null},{"id":"2310.10541","title":"AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories","created":"2023-10-16","cited_by_count":1,"area":null},{"id":"2505.11586","title":"The Ripple Effect: On Unforeseen Complications of Backdoor Attacks","created":"2025-05-16","cited_by_count":1,"area":null},{"id":"2603.04859","title":"Osmosis Distillation: Model Hijacking with the Fewest Samples","created":"2026-03-05","cited_by_count":1,"area":null},{"id":"2502.12607","title":"Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation","created":"2025-02-18","cited_by_count":0,"area":null},{"id":"2603.28092","title":"InkDrop: Invisible Backdoor Attacks Against Dataset Condensation","created":"2026-03-30","cited_by_count":0,"area":null},{"id":"2603.28824","title":"SNEAKDOOR: Stealthy Backdoor Attacks against Distribution Matching-based Dataset Condensation","created":"2026-03-29","cited_by_count":0,"area":null},{"id":"2607.13541","title":"When T2I Synthetic Data Backfires: Amplified Privacy Risks in Real-Synthetic Mix Training","created":"2026-07-15","cited_by_count":0,"area":null}],"next_cursor":null}