{"total":17,"rows":[{"id":"2212.03860","title":"Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models","created":"2022-12-07","cited_by_count":424,"area":"diffusion"},{"id":"2212.08420","title":"Fake it till you make it: Learning transferable representations from synthetic ImageNet clones","created":"2022-12-16","cited_by_count":172,"area":"diffusion"},{"id":"2306.17560","title":"Class-Incremental Learning using Diffusion Model for Distillation and Replay","created":"2023-06-30","cited_by_count":31,"area":"diffusion"},{"id":"2409.03550","title":"DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture","created":"2024-09-05","cited_by_count":22,"area":"diffusion"},{"id":"2305.12954","title":"Is Synthetic Data From Diffusion Models Ready for Knowledge Distillation?","created":"2023-05-22","cited_by_count":21,"area":"diffusion"},{"id":"2504.00870","title":"Data-free Knowledge Distillation with Diffusion Models","created":"2025-04-01","cited_by_count":16,"area":"diffusion"},{"id":"2311.01018","title":"Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning","created":"2023-11-02","cited_by_count":11,"area":"diffusion"},{"id":"2403.07142","title":"One Category One Prompt: Dataset Distillation using Diffusion Models","created":"2024-03-11","cited_by_count":6,"area":"diffusion"},{"id":"2402.04929","title":"Source-Free Domain Adaptation with Diffusion-Guided Source Data Generation","created":"2024-02-07","cited_by_count":4,"area":"diffusion"},{"id":"2402.16305","title":"Referee Can Play: An Alternative Approach to Conditional Generation via Model Inversion","created":"2024-02-26","cited_by_count":4,"area":"diffusion"},{"id":"2310.00096","title":"Towards Few-Call Model Stealing via Active Self-Paced Knowledge Distillation and Diffusion-Based Image Generation","created":"2023-09-29","cited_by_count":2,"area":"diffusion"},{"id":"2507.07947","title":"Reconstructing Template-Memorized Images from Natural Prompts","created":"2025-07-10","cited_by_count":1,"area":"diffusion"},{"id":"2601.15049","title":"Deep Leakage with Generative Flow Matching Denoiser","created":"2026-01-21","cited_by_count":1,"area":"diffusion"},{"id":"2412.08394","title":"Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds","created":"2024-12-11","cited_by_count":0,"area":"diffusion"},{"id":"2506.15381","title":"When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class","created":"2025-06-18","cited_by_count":0,"area":"diffusion"},{"id":"2601.01688","title":"DiMEx: Breaking the Cold Start Barrier in Data-Free Model Extraction via Latent Diffusion Priors","created":"2026-01-04","cited_by_count":0,"area":"diffusion"},{"id":"2610.01331","title":"CLASP: Continual Low-rank Adapters for Spatially Placed Concepts from One Hypernetwork","created":"2026-10-01","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}