{"total":19,"rows":[{"id":"2303.15433","title":"Anti-DreamBooth: Protecting users from personalized text-to-image synthesis","created":"2023-03-27","cited_by_count":120,"area":"diffusion"},{"id":"2305.08192","title":"Diffusion Models for Imperceptible and Transferable Adversarial Attack","created":"2023-05-14","cited_by_count":94,"area":"diffusion"},{"id":"2303.16378","title":"A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion","created":"2023-03-29","cited_by_count":76,"area":"diffusion"},{"id":"2303.09962","title":"Adversarial Counterfactual Visual Explanations","created":"2023-03-17","cited_by_count":47,"area":"diffusion"},{"id":"2311.16124","title":"DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial Purification","created":"2023-10-27","cited_by_count":36,"area":"diffusion"},{"id":"2408.00315","title":"ADBM: Adversarial diffusion bridge model for reliable adversarial purification","created":"2024-08-01","cited_by_count":24,"area":"diffusion"},{"id":"2303.01507","title":"Defending against Adversarial Audio via Diffusion Model","created":"2023-03-02","cited_by_count":23,"area":"diffusion"},{"id":"2310.18762","title":"Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness","created":"2023-10-28","cited_by_count":13,"area":"diffusion"},{"id":"2305.03980","title":"Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework","created":"2023-05-06","cited_by_count":9,"area":"diffusion"},{"id":"2408.04839","title":"Adversarially Robust Industrial Anomaly Detection Through Diffusion Model","created":"2024-08-09","cited_by_count":3,"area":"diffusion"},{"id":"2309.03702","title":"DiffDefense: Defending against Adversarial Attacks via Diffusion Models","created":"2023-09-07","cited_by_count":2,"area":"diffusion"},{"id":"2402.03705","title":"FoolSDEdit: Deceptively Steering Your Edits Towards Targeted Attribute-aware Distribution","created":"2024-02-06","cited_by_count":2,"area":"diffusion"},{"id":"2508.15020","title":"TAIGen: Training-Free Adversarial Image Generation via Diffusion Models","created":"2025-08-20","cited_by_count":2,"area":"diffusion"},{"id":"2401.06637","title":"Adversarial Examples are Misaligned in Diffusion Model Manifolds","created":"2024-01-12","cited_by_count":1,"area":"diffusion"},{"id":"2504.11034","title":"Defending Against Frequency-Based Attacks with Diffusion Models","created":"2025-04-15","cited_by_count":1,"area":"diffusion"},{"id":"2404.08273","title":"Struggle with Adversarial Defense? Try Diffusion","created":"2024-04-12","cited_by_count":0,"area":"diffusion"},{"id":"2506.09955","title":"Canonical Latent Representations in Conditional Diffusion Models","created":"2025-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2603.29578","title":"Emotion Diffusion Classifier with Adaptive Margin Discrepancy Training for Facial Expression Recognition","created":"2026-03-31","cited_by_count":0,"area":"diffusion"},{"id":"2607.25894","title":"TIGA: Trajectory-Injected Generative Attack against Black-box AIGC Detectors","created":"2026-07-28","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}