{"total":15,"rows":[{"id":"2305.13873","title":"Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models","created":"2023-05-23","cited_by_count":175,"area":"diffusion"},{"id":"2305.12502","title":"Watermarking Diffusion Model","created":"2023-05-21","cited_by_count":37,"area":"diffusion"},{"id":"2508.03480","title":"VideoGuard: Protecting Video Content from Unauthorized Editing","created":"2025-08-05","cited_by_count":3,"area":"diffusion"},{"id":"2509.22723","title":"Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models","created":"2025-09-25","cited_by_count":3,"area":"diffusion"},{"id":"2606.01481","title":"SafeGen-Bench: Benchmarking Safety in Image-Conditioned Text-to-Video Generation","created":"2026-05-31","cited_by_count":3,"area":"diffusion"},{"id":"2508.06837","title":"Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models","created":"2025-08-09","cited_by_count":2,"area":"diffusion"},{"id":"2511.22119","title":"PROMPTMINER: Black-Box Prompt Stealing against Text-to-Image Generative Models via Reinforcement Learning and Fuzz Optimization","created":"2025-11-27","cited_by_count":2,"area":"diffusion"},{"id":"2601.20642","title":"Detecting and Mitigating Memorization in Diffusion Models through Anisotropy of the Log-Probability","created":"2026-01-28","cited_by_count":2,"area":"diffusion"},{"id":"2509.09488","title":"Prompt Pirates Need a Map: Stealing Seeds helps Stealing Prompts","created":"2025-09-11","cited_by_count":1,"area":"diffusion"},{"id":"2506.03067","title":"EDITOR: Effective and Interpretable Prompt Inversion for Text-to-Image Diffusion Models","created":"2025-06-03","cited_by_count":0,"area":"diffusion"},{"id":"2508.20424","title":"Attacks on Approximate Caches in Text-to-Image Diffusion Models","created":"2025-08-28","cited_by_count":0,"area":"diffusion"},{"id":"2603.17513","title":"Proof-of-Authorship for Diffusion-based AI Generated Content","created":"2026-03-18","cited_by_count":0,"area":"diffusion"},{"id":"2603.27199","title":"Let Triggers Control: Frequency-Aware Dropout for Effective Token Control","created":"2026-03-28","cited_by_count":0,"area":"diffusion"},{"id":"2604.09861","title":"Evolutionary Token-Level Prompt Optimization for Diffusion Models","created":"2026-04-10","cited_by_count":0,"area":"diffusion"},{"id":"2609.04709","title":"AngelFingerprint: A Traceable, Explainable, and White-Box Stealthy Watermark for Text-Guided Image Editing","created":"2026-09-04","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}