{"total":30,"rows":[{"id":"2410.12761","title":"SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation","created":"2024-10-16","cited_by_count":133,"area":"diffusion"},{"id":"2407.15861","title":"Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey","created":"2024-07-10","cited_by_count":35,"area":"diffusion"},{"id":"2505.12677","title":"CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models","created":"2025-05-19","cited_by_count":27,"area":"diffusion"},{"id":"2405.13360","title":"How to Trace Latent Generative Model Generated Images without Artificial Watermark?","created":"2024-05-22","cited_by_count":26,"area":"diffusion"},{"id":"2502.08011","title":"Training-Free Safe Denoisers for Safe Use of Diffusion Models","created":"2025-02-11","cited_by_count":21,"area":"diffusion"},{"id":"2502.16368","title":"Concept Corrector: Erase concepts on the fly for text-to-image diffusion models","created":"2025-02-22","cited_by_count":11,"area":"diffusion"},{"id":"2410.02710","title":"SteerDiff: Steering towards Safe Text-to-Image Diffusion Models","created":"2024-10-03","cited_by_count":10,"area":"diffusion"},{"id":"2410.21471","title":"AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion models","created":"2024-10-28","cited_by_count":10,"area":"diffusion"},{"id":"2502.14896","title":"A Comprehensive Survey on Concept Erasure in Text-to-Image Diffusion Models","created":"2025-02-17","cited_by_count":9,"area":"diffusion"},{"id":"2507.16302","title":"Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning","created":"2025-07-22","cited_by_count":9,"area":"diffusion"},{"id":"2501.18877","title":"Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion Models","created":"2025-01-31","cited_by_count":7,"area":"diffusion"},{"id":"2510.24012","title":"Training-Free Safe Text Embedding Guidance for Text-to-Image Diffusion Models","created":"2025-10-28","cited_by_count":7,"area":"diffusion"},{"id":"2512.16625","title":"DeContext as Defense: Safe Image Editing in Diffusion Transformers","created":"2025-12-18","cited_by_count":7,"area":"diffusion"},{"id":"2503.14232","title":"CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models","created":"2025-03-18","cited_by_count":6,"area":"diffusion"},{"id":"2601.00267","title":"ActErase: A Training-Free Paradigm for Precise Concept Erasure via Activation Redirection","created":"2026-01-01","cited_by_count":4,"area":"diffusion"},{"id":"2603.25994","title":"Neighbor-Aware Localized Concept Erasure in Text-to-Image Diffusion Models","created":"2026-03-27","cited_by_count":4,"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":"2507.17554","title":"An h-space Based Adversarial Attack for Protection Against Few-shot Personalization","created":"2025-07-23","cited_by_count":2,"area":"diffusion"},{"id":"2511.19558","title":"SPQR: A Multi-Dimensional Benchmark for Safety Alignment under Benign Model Adaptation","created":"2025-11-24","cited_by_count":2,"area":"diffusion"},{"id":"2605.19739","title":"FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models","created":"2026-05-19","cited_by_count":2,"area":"diffusion"},{"id":"2508.01151","title":"Personalized Safety Alignment for Text-to-Image Diffusion Models","created":"2025-08-02","cited_by_count":1,"area":"diffusion"},{"id":"2606.17257","title":"Pulling The REINS: Training-Free Safety Alignment of Video Diffusion Models via Representation Steering","created":"2026-06-15","cited_by_count":1,"area":"diffusion"},{"id":"2607.00402","title":"The Illusion of High Utility in Safety Alignment of Text-to-Image Diffusion Models","created":"2026-07-01","cited_by_count":1,"area":"diffusion"},{"id":"2409.17682","title":"Dark Miner: Defend against undesirable generation for text-to-image diffusion models","created":"2024-09-26","cited_by_count":0,"area":"diffusion"},{"id":"2502.06023","title":"Dual Caption Preference Optimization for Diffusion Models","created":"2025-02-09","cited_by_count":0,"area":"diffusion"},{"id":"2511.21180","title":"CAHS-Attack: CLIP-Aware Heuristic Search Attack Method for Stable Diffusion","created":"2025-11-26","cited_by_count":0,"area":"diffusion"},{"id":"2602.00616","title":"SPOT: Selective Prompt Projection via Total Variation for Inference-Only Safe Text-to-Image Generation","created":"2026-01-31","cited_by_count":0,"area":"diffusion"},{"id":"2607.06120","title":"AEGIS: A Mechanism-Guided Defense against Visual Synonym Jailbreaks in Text-to-Image Models","created":"2026-07-07","cited_by_count":0,"area":"diffusion"},{"id":"2607.16828","title":"UniNDM: A Unified Noise-driven Detection and Mitigation Framework Against Sexual Content in Text-to-Image Generation","created":"2026-07-18","cited_by_count":0,"area":"diffusion"},{"id":"2610.19563","title":"SaTPO: Text-to-Image Safety Alignment via Transition Preference Optimization","created":"2026-10-14","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}