{"total":163,"rows":[{"id":"2303.07345","title":"Erasing Concepts from Diffusion Models","created":"2023-03-13","cited_by_count":539,"area":"diffusion"},{"id":"2308.14761","title":"Unified Concept Editing in Diffusion Models","created":"2023-08-25","cited_by_count":388,"area":"diffusion"},{"id":"2403.06135","title":"MACE: Mass Concept Erasure in Diffusion Models","created":"2024-03-10","cited_by_count":307,"area":"diffusion"},{"id":"2305.16934","title":"On Evaluating Adversarial Robustness of Large Vision-Language Models","created":"2023-05-26","cited_by_count":284,"area":"mllm"},{"id":"2311.17516","title":"MMA-Diffusion: MultiModal Attack on Diffusion Models","created":"2023-11-29","cited_by_count":194,"area":"diffusion"},{"id":"2410.18775","title":"Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances","created":"2024-10-24","cited_by_count":110,"area":"safety"},{"id":"2305.12683","title":"Mist: Towards Improved Adversarial Examples for Diffusion Models","created":"2023-05-22","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":"2310.13828","title":"Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models","created":"2023-10-20","cited_by_count":75,"area":"safety"},{"id":"2305.10665","title":"Content-based Unrestricted Adversarial Attack","created":"2023-05-18","cited_by_count":73,"area":null},{"id":"2311.12832","title":"Toward effective protection against diffusion based mimicry through score distillation","created":"2023-10-02","cited_by_count":65,"area":"diffusion"},{"id":"2401.05779","title":"Erasing Undesirable Influence in Diffusion Models","created":"2024-01-11","cited_by_count":57,"area":"diffusion"},{"id":"2311.13127","title":"MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning","created":"2023-11-22","cited_by_count":44,"area":"diffusion"},{"id":"2312.00084","title":"Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?","created":"2023-11-30","cited_by_count":38,"area":"diffusion"},{"id":"2402.02333","title":"Copyright Protection in Generative AI: A Technical Perspective","created":"2024-02-04","cited_by_count":38,"area":null},{"id":"2405.14800","title":"Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy","created":"2024-05-23","cited_by_count":38,"area":"diffusion"},{"id":"2305.12502","title":"Watermarking Diffusion Model","created":"2023-05-21","cited_by_count":37,"area":"diffusion"},{"id":"2306.01902","title":"Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation","created":"2023-06-02","cited_by_count":37,"area":"diffusion"},{"id":"2312.07865","title":"SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models","created":"2023-12-13","cited_by_count":36,"area":"diffusion"},{"id":"2310.19248","title":"IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI","created":"2023-10-30","cited_by_count":35,"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":"2311.12066","title":"EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models","created":"2023-11-19","cited_by_count":27,"area":"diffusion"},{"id":"2311.13091","title":"Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise","created":"2023-11-22","cited_by_count":25,"area":null},{"id":"2306.07754","title":"Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis","created":"2023-06-13","cited_by_count":23,"area":"safety"},{"id":"2412.11638","title":"IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation","created":"2024-12-16","cited_by_count":22,"area":null},{"id":"2306.08257","title":"On the Robustness of Latent Diffusion Models","created":"2023-06-14","cited_by_count":21,"area":"diffusion"},{"id":"2411.16832","title":"Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing","created":"2024-11-25","cited_by_count":21,"area":"diffusion"},{"id":"2310.02401","title":"FT-Shield: A Watermark Against Unauthorized Fine-tuning in Text-to-Image Diffusion Models","created":"2023-10-03","cited_by_count":20,"area":"diffusion"},{"id":"2310.04687","title":"Targeted Attack Improves Protection against Unauthorized Diffusion Customization","created":"2023-10-07","cited_by_count":18,"area":"diffusion"},{"id":"2311.18815","title":"IMMA: Immunizing text-to-image Models against Malicious Adaptation","created":"2023-11-30","cited_by_count":18,"area":null},{"id":"2404.15081","title":"Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models","created":"2024-04-23","cited_by_count":18,"area":"diffusion"},{"id":"2405.19424","title":"Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies","created":"2024-05-29","cited_by_count":18,"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":"2410.22705","title":"Geometry Cloak: Preventing TGS-based 3D Reconstruction from Copyrighted Images","created":"2024-10-30","cited_by_count":15,"area":null},{"id":"2304.02234","title":"JPEG Compressed Images Can Bypass Protections Against AI Editing","created":"2023-04-05","cited_by_count":14,"area":"diffusion"},{"id":"2408.10571","title":"Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models","created":"2024-08-20","cited_by_count":14,"area":"diffusion"},{"id":"2407.10575","title":"A Survey of Defenses Against AI-Generated Visual Media: Detection,Disruption, and Authentication","created":"2024-07-15","cited_by_count":13,"area":null},{"id":"2408.10901","title":"A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse","created":"2024-08-20","cited_by_count":13,"area":"diffusion"},{"id":"2409.14424","title":"Dormant: Defending against Pose-driven Human Image Animation","created":"2024-09-22","cited_by_count":11,"area":null},{"id":"2503.10081","title":"AdvPaint: Protecting Images from Inpainting Manipulation via Adversarial Attention Disruption","created":"2025-03-13","cited_by_count":11,"area":"diffusion"},{"id":"2404.13320","title":"Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think","created":"2024-04-20","cited_by_count":10,"area":"diffusion"},{"id":"2411.17957","title":"DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing","created":"2024-11-27","cited_by_count":10,"area":null},{"id":"2512.07247","title":"AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing","created":"2025-12-08","cited_by_count":10,"area":null},{"id":"2402.01239","title":"PRIME: Protect Your Videos From Malicious Editing","created":"2024-02-02","cited_by_count":9,"area":null},{"id":"2403.19254","title":"Imperceptible Protection against Style Imitation from Diffusion Models","created":"2024-03-28","cited_by_count":9,"area":"diffusion"},{"id":"2406.03720","title":"JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits","created":"2024-06-06","cited_by_count":9,"area":"diffusion"},{"id":"2504.11106","title":"Token-Level Constraint Boundary Search for Jailbreaking Text-to-Image Models","created":"2025-04-15","cited_by_count":9,"area":"safety"},{"id":"2508.03696","title":"PLA: Prompt Learning Attack against Text-to-Image Generative Models","created":"2025-07-14","cited_by_count":9,"area":"safety"},{"id":"2310.07726","title":"Warfare:Breaking the Watermark Protection of AI-Generated Content","created":"2023-09-27","cited_by_count":8,"area":"safety"},{"id":"2403.10573","title":"Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking","created":"2024-03-15","cited_by_count":8,"area":null},{"id":"2404.05783","title":"A Survey on Responsible Generative AI: What to Generate and What Not","created":"2024-04-08","cited_by_count":8,"area":null},{"id":"2407.10277","title":"Disrupting Diffusion-based Inpainters with Semantic Digression","created":"2024-07-14","cited_by_count":8,"area":"diffusion"},{"id":"2412.09921","title":"FaceShield: Defending Facial Image against Deepfake Threats","created":"2024-12-13","cited_by_count":8,"area":null},{"id":"2505.18766","title":"StyleGuard: Preventing Text-to-Image-Model-based Style Mimicry Attacks by Style Perturbations","created":"2025-05-24","cited_by_count":8,"area":"diffusion"},{"id":"2506.01591","title":"Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation","created":"2025-06-02","cited_by_count":8,"area":"diffusion"},{"id":"2509.23279","title":"Vid-Freeze: Protecting Images from Malicious Image-to-Video Generation via Temporal Freezing","created":"2025-09-27","cited_by_count":8,"area":null},{"id":"2406.15386","title":"U Can't Gen This? A Survey of Intellectual Property Protection Methods for Data in Generative AI","created":"2024-04-22","cited_by_count":7,"area":null},{"id":"2412.05538","title":"Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models","created":"2024-12-07","cited_by_count":7,"area":null},{"id":"2412.11423","title":"Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models","created":"2024-12-16","cited_by_count":7,"area":"diffusion"},{"id":"2503.13994","title":"TarPro: Targeted Protection against Malicious Image Editing","created":"2025-03-18","cited_by_count":7,"area":null},{"id":"2504.17894","title":"DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing","created":"2025-04-24","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":"2602.14679","title":"Universal Image Immunization against Diffusion-based Image Editing via Semantic Injection","created":"2026-02-16","cited_by_count":7,"area":"diffusion"},{"id":"2603.13435","title":"CtrlAttack: A Unified Attack on World-Model Control in Diffusion Models","created":"2026-03-13","cited_by_count":7,"area":"wm"},{"id":"2310.03614","title":"Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally","created":"2023-10-05","cited_by_count":6,"area":null},{"id":"2406.15305","title":"PID: Prompt-Independent Data Protection Against Latent Diffusion Models","created":"2024-06-14","cited_by_count":6,"area":"diffusion"},{"id":"2503.05595","title":"Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models","created":"2025-03-07","cited_by_count":6,"area":null},{"id":"2504.17219","title":"Enhancing Variational Autoencoders with Smooth Robust Latent Encoding","created":"2025-04-24","cited_by_count":6,"area":"diffusion"},{"id":"2510.02314","title":"StealthAttack: Robust 3D Gaussian Splatting Poisoning via Density-Guided Illusions","created":"2025-10-02","cited_by_count":6,"area":null},{"id":"2309.03198","title":"My Art My Choice: Adversarial Protection Against Unruly AI","created":"2023-09-06","cited_by_count":5,"area":"diffusion"},{"id":"2311.06423","title":"Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness","created":"2023-11-10","cited_by_count":5,"area":null},{"id":"2312.00057","title":"VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models","created":"2023-11-29","cited_by_count":5,"area":null},{"id":"2401.07087","title":"Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability","created":"2024-01-13","cited_by_count":5,"area":"diffusion"},{"id":"2412.09844","title":"Real-time Identity Defenses against Malicious Personalization of Diffusion Models","created":"2024-12-13","cited_by_count":5,"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":"2505.15336","title":"My Face Is Mine, Not Yours: Facial Protection Against Diffusion Model Face Swapping","created":"2025-05-21","cited_by_count":5,"area":"diffusion"},{"id":"2505.21724","title":"OmniResponse: Online Multimodal Conversational Response Generation in Dyadic Interactions","created":"2025-05-27","cited_by_count":5,"area":null},{"id":"2511.00143","title":"BlurGuard: A Simple Approach for Robustifying Image Protection Against AI-Powered Editing","created":"2025-10-31","cited_by_count":5,"area":null},{"id":"2512.23953","title":"T2VAttack: Adversarial Attack on Text-to-Video Diffusion Models","created":"2025-12-30","cited_by_count":5,"area":"diffusion"},{"id":"2606.16519","title":"BadWorld: Adversarial Attacks on World Models","created":"2026-06-15","cited_by_count":5,"area":"wm"},{"id":"2607.13336","title":"Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization","created":"2026-07-14","cited_by_count":5,"area":null},{"id":"2412.07229","title":"Moderating the Generalization of Score-based Generative Model","created":"2024-12-10","cited_by_count":4,"area":"diffusion"},{"id":"2502.07225","title":"CAT: Contrastive Adversarial Training for Evaluating the Robustness of Protective Perturbations in Latent Diffusion Models","created":"2025-02-11","cited_by_count":4,"area":"diffusion"},{"id":"2503.11071","title":"Harnessing Frequency Spectrum Insights for Image Copyright Protection Against Diffusion Models","created":"2025-03-14","cited_by_count":4,"area":"diffusion"},{"id":"2505.08197","title":"Visual Watermarking in the Era of Diffusion Models: Advances and Challenges","created":"2025-05-13","cited_by_count":4,"area":"diffusion"},{"id":"2509.13711","title":"StyleProtect: Safeguarding Artistic Identity in Fine-tuned Diffusion Models","created":"2025-09-17","cited_by_count":4,"area":"diffusion"},{"id":"2604.10837","title":"Immune2V: Image Immunization Against Dual-Stream Image-to-Video Generation","created":"2026-04-12","cited_by_count":4,"area":null},{"id":"2407.20141","title":"DDAP: Dual-Domain Anti-Personalization against Text-to-Image Diffusion Models","created":"2024-07-29","cited_by_count":3,"area":"diffusion"},{"id":"2408.11810","title":"Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models","created":"2024-08-21","cited_by_count":3,"area":"diffusion"},{"id":"2410.02240","title":"SCA: Improve Semantic Consistent in Unrestricted Adversarial Attacks via DDPM Inversion","created":"2024-10-03","cited_by_count":3,"area":"diffusion"},{"id":"2505.13023","title":"Anti-Inpainting: A Proactive Defense Approach against Malicious Diffusion-based Inpainters under Unknown Conditions","created":"2025-05-19","cited_by_count":3,"area":null},{"id":"2507.03953","title":"Evaluating Adversarial Protections for Diffusion Personalization: A Comprehensive Study","created":"2025-07-05","cited_by_count":3,"area":"diffusion"},{"id":"2507.22499","title":"LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning","created":"2025-07-30","cited_by_count":3,"area":"safety"},{"id":"2508.03480","title":"VideoGuard: Protecting Video Content from Unauthorized Editing","created":"2025-08-05","cited_by_count":3,"area":"diffusion"},{"id":"2509.13922","title":"Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification","created":"2025-09-17","cited_by_count":3,"area":"diffusion"},{"id":"2512.14320","title":"Semantic Mismatch and Perceptual Degradation: A New Perspective on Image Editing Immunity","created":"2025-12-16","cited_by_count":3,"area":"diffusion"},{"id":"2512.14341","title":"Towards Transferable Defense Against Malicious Image Edits","created":"2025-12-16","cited_by_count":3,"area":"diffusion"},{"id":"2603.21208","title":"JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization","created":"2026-03-22","cited_by_count":3,"area":"diffusion"},{"id":"2603.26154","title":"IPV-Bench: Benchmarking Image Protection Methods under Diverse Image-to-Video Generation Scenarios","created":"2026-03-27","cited_by_count":3,"area":null},{"id":"2604.10032","title":"Closed-Form Concept Erasure via Double Projections","created":"2026-04-11","cited_by_count":3,"area":"diffusion"}],"next_cursor":"100"}