{"total":18,"rows":[{"id":"2305.10701","title":"Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models","created":"2023-05-18","cited_by_count":42,"area":"diffusion"},{"id":"2408.03400","title":"Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey","created":"2024-08-06","cited_by_count":32,"area":"diffusion"},{"id":"2307.16680","title":"On the Trustworthiness Landscape of State-of-the-art Generative Models: A Survey and Outlook","created":"2023-07-31","cited_by_count":15,"area":"diffusion"},{"id":"2502.11798","title":"BackdoorDM: A Comprehensive Benchmark for Backdoor Learning on Diffusion Model","created":"2025-02-17","cited_by_count":8,"area":"diffusion"},{"id":"2301.13862","title":"Salient Conditional Diffusion for Defending Against Backdoor Attacks","created":"2023-01-31","cited_by_count":7,"area":"diffusion"},{"id":"2409.18214","title":"Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey","created":"2024-09-26","cited_by_count":6,"area":"diffusion"},{"id":"2503.03944","title":"GuardDoor: Safeguarding Against Malicious Diffusion Editing via Protective Backdoors","created":"2025-03-05","cited_by_count":5,"area":"diffusion"},{"id":"2308.11123","title":"Hey That's Mine Imperceptible Watermarks are Preserved in Diffusion Generated Outputs","created":"2023-08-22","cited_by_count":3,"area":"diffusion"},{"id":"2402.05967","title":"The last Dance : Robust backdoor attack via diffusion models and bayesian approach","created":"2024-02-05","cited_by_count":3,"area":"diffusion"},{"id":"2502.19047","title":"A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models","created":"2025-02-26","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":"2504.05815","title":"Parasite: A Steganography-based Backdoor Attack Framework for Diffusion Models","created":"2025-04-08","cited_by_count":2,"area":"diffusion"},{"id":"2406.15863","title":"EmoAttack: Emotion-to-Image Diffusion Models for Emotional Backdoor Generation","created":"2024-06-22","cited_by_count":1,"area":"diffusion"},{"id":"2502.20650","title":"Gungnir: Exploiting Stylistic Features in Images for Backdoor Attacks on Diffusion Models","created":"2025-02-28","cited_by_count":1,"area":"diffusion"},{"id":"2508.03221","title":"BadBlocks: Low-Cost and Stealthy Backdoor Attacks Tailored for Text-to-Image Diffusion Models","created":"2025-08-05","cited_by_count":0,"area":"diffusion"},{"id":"2509.04597","title":"DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models","created":"2025-09-04","cited_by_count":0,"area":"diffusion"},{"id":"2602.04898","title":"Semantic-level Backdoor Attack against Text-to-Image Diffusion Models","created":"2026-02-03","cited_by_count":0,"area":"diffusion"},{"id":"2605.13115","title":"DiffusionHijack: Supply-Chain PRNG Backdoor Attack on Diffusion Models and Quantum Random Number Defense","created":"2026-05-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}