{"total":212,"rows":[{"id":"2111.14818","title":"Blended Diffusion for Text-driven Editing of Natural Images","created":"2021-11-29","cited_by_count":927,"area":"diffusion"},{"id":"2205.07460","title":"Diffusion Models for Adversarial Purification","created":"2022-05-16","cited_by_count":476,"area":"diffusion"},{"id":"2303.15435","title":"The Stable Signature: Rooting Watermarks in Latent Diffusion Models","created":"2023-03-27","cited_by_count":304,"area":"diffusion"},{"id":"2409.08861","title":"Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control","created":"2024-09-13","cited_by_count":233,"area":"diffusion"},{"id":"2211.14305","title":"SpaText: Spatio-Textual Representation for Controllable Image Generation","created":"2022-11-25","cited_by_count":217,"area":"diffusion"},{"id":"2310.11868","title":"To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Unsafe Images ... For Now","created":"2023-10-18","cited_by_count":210,"area":"diffusion"},{"id":"2302.04638","title":"Better Diffusion Models Further Improve Adversarial Training","created":"2023-02-09","cited_by_count":208,"area":"diffusion"},{"id":"2311.17516","title":"MMA-Diffusion: MultiModal Attack on Diffusion Models","created":"2023-11-29","cited_by_count":194,"area":"diffusion"},{"id":"2305.12082","title":"SneakyPrompt: Jailbreaking Text-to-image Generative Models","created":"2023-05-20","cited_by_count":189,"area":"diffusion"},{"id":"2405.15234","title":"Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models","created":"2024-05-24","cited_by_count":168,"area":"diffusion"},{"id":"2302.04578","title":"Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples","created":"2023-02-09","cited_by_count":167,"area":"diffusion"},{"id":"2106.06041","title":"Adversarial purification with Score-based generative models","created":"2021-06-11","cited_by_count":134,"area":"diffusion"},{"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":"2311.17717","title":"Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers","created":"2023-11-29","cited_by_count":120,"area":"diffusion"},{"id":"2402.17113","title":"Transparent Image Layer Diffusion using Latent Transparency","created":"2024-02-27","cited_by_count":114,"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":"2304.00686","title":"DiffuRec: A Diffusion Model for Sequential Recommendation","created":"2023-04-03","cited_by_count":93,"area":"diffusion"},{"id":"2305.15241","title":"Robust Classification via a Single Diffusion Model","created":"2023-05-24","cited_by_count":79,"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":"2510.09212","title":"Stable Video Infinity: Infinite-Length Video Generation with Error Recycling","created":"2025-10-10","cited_by_count":73,"area":"diffusion"},{"id":"2208.07791","title":"Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model","created":"2022-08-16","cited_by_count":58,"area":"diffusion"},{"id":"2405.16341","title":"R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model","created":"2024-05-25","cited_by_count":58,"area":"diffusion"},{"id":"2410.15618","title":"Erasing Undesirable Concepts in Diffusion Models with Adversarial Preservation","created":"2024-10-21","cited_by_count":50,"area":"diffusion"},{"id":"2303.09962","title":"Adversarial Counterfactual Visual Explanations","created":"2023-03-17","cited_by_count":47,"area":"diffusion"},{"id":"2311.17919","title":"Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models","created":"2023-11-29","cited_by_count":46,"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":"2306.01902","title":"Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation","created":"2023-06-02","cited_by_count":37,"area":"diffusion"},{"id":"2501.18950","title":"Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find Them","created":"2025-01-31","cited_by_count":37,"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":"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":"2206.10875","title":"Guided Diffusion Model for Adversarial Purification from Random Noise","created":"2022-06-22","cited_by_count":35,"area":"diffusion"},{"id":"2305.13625","title":"DiffProtect: Generate Adversarial Examples with Diffusion Models for Facial Privacy Protection","created":"2023-05-23","cited_by_count":35,"area":"diffusion"},{"id":"2208.08664","title":"Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance","created":"2022-08-18","cited_by_count":33,"area":"diffusion"},{"id":"2403.12404","title":"Understanding and Improving Training-free Loss-based Diffusion Guidance","created":"2024-03-19","cited_by_count":32,"area":"diffusion"},{"id":"2405.09882","title":"DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection","created":"2024-05-16","cited_by_count":32,"area":"diffusion"},{"id":"2401.15422","title":"A Survey on Data Augmentation in Large Model Era","created":"2024-01-27","cited_by_count":31,"area":"diffusion"},{"id":"2209.08891","title":"Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis","created":"2022-09-19","cited_by_count":29,"area":"diffusion"},{"id":"2306.00974","title":"Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search","created":"2023-06-01","cited_by_count":25,"area":"diffusion"},{"id":"2207.08089","title":"Threat Model-Agnostic Adversarial Defense using Diffusion Models","created":"2022-07-17","cited_by_count":24,"area":"diffusion"},{"id":"2302.12881","title":"Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties","created":"2023-02-24","cited_by_count":24,"area":"diffusion"},{"id":"2402.02316","title":"Your Diffusion Model is Secretly a Certifiably Robust Classifier","created":"2024-02-04","cited_by_count":24,"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":"2310.12868","title":"DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model","created":"2023-10-19","cited_by_count":23,"area":"diffusion"},{"id":"2404.09401","title":"Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models","created":"2024-04-15","cited_by_count":23,"area":"diffusion"},{"id":"2404.11615","title":"Factorized Diffusion: Perceptual Illusions by Noise Decomposition","created":"2024-04-17","cited_by_count":23,"area":"diffusion"},{"id":"2409.01128","title":"Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning","created":"2024-09-02","cited_by_count":23,"area":"diffusion"},{"id":"2303.13006","title":"Controllable Inversion of Black-Box Face Recognition Models via Diffusion","created":"2023-03-23","cited_by_count":22,"area":"diffusion"},{"id":"2311.11017","title":"Improving Adversarial Transferability by Stable Diffusion","created":"2023-11-18","cited_by_count":22,"area":"diffusion"},{"id":"2306.08257","title":"On the Robustness of Latent Diffusion Models","created":"2023-06-14","cited_by_count":21,"area":"diffusion"},{"id":"2312.11285","title":"Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model","created":"2023-12-18","cited_by_count":21,"area":"diffusion"},{"id":"2303.08500","title":"The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models","created":"2023-03-15","cited_by_count":19,"area":"diffusion"},{"id":"2307.04333","title":"Enhancing Adversarial Robustness via Score-Based Optimization","created":"2023-07-10","cited_by_count":19,"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":"2312.04802","title":"MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model","created":"2023-12-08","cited_by_count":18,"area":"diffusion"},{"id":"2403.18035","title":"Bidirectional Consistency Models","created":"2024-03-26","cited_by_count":18,"area":"diffusion"},{"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":"2306.09124","title":"DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks","created":"2023-06-15","cited_by_count":15,"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":"2404.12488","title":"Global Counterfactual Directions","created":"2024-04-18","cited_by_count":15,"area":"diffusion"},{"id":"2205.03859","title":"On Conditioning the Input Noise for Controlled Image Generation with Diffusion Models","created":"2022-05-08","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":"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":"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":"2310.07492","title":"Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models","created":"2023-10-11","cited_by_count":12,"area":"diffusion"},{"id":"2407.20836","title":"Vulnerabilities in AI-generated Image Detection: The Challenge of Adversarial Attacks","created":"2024-07-30","cited_by_count":12,"area":"diffusion"},{"id":"2408.05669","title":"StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model","created":"2024-08-11","cited_by_count":12,"area":"diffusion"},{"id":"2307.10711","title":"AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models","created":"2023-07-20","cited_by_count":11,"area":"diffusion"},{"id":"2407.11942","title":"Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design","created":"2024-07-16","cited_by_count":11,"area":"diffusion"},{"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":"2307.08076","title":"Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector","created":"2023-07-16","cited_by_count":10,"area":"diffusion"},{"id":"2309.00073","title":"Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction","created":"2023-08-18","cited_by_count":10,"area":"diffusion"},{"id":"2402.15429","title":"ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation","created":"2024-02-23","cited_by_count":10,"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":"2211.14794","title":"Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs","created":"2022-11-27","cited_by_count":9,"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":"2309.14360","title":"Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation","created":"2023-09-23","cited_by_count":9,"area":"diffusion"},{"id":"2312.02615","title":"Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models","created":"2023-12-05","cited_by_count":9,"area":"diffusion"},{"id":"2403.19254","title":"Imperceptible Protection against Style Imitation from Diffusion Models","created":"2024-03-28","cited_by_count":9,"area":"diffusion"},{"id":"2412.11441","title":"UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models","created":"2024-12-16","cited_by_count":9,"area":"diffusion"},{"id":"2312.05387","title":"Cross Domain Generative Augmentation: Domain Generalization with Latent Diffusion Models","created":"2023-12-08","cited_by_count":8,"area":"diffusion"},{"id":"2403.16067","title":"Adversarial Guided Diffusion Models for Adversarial Purification","created":"2024-03-24","cited_by_count":8,"area":"diffusion"},{"id":"2404.14309","title":"Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective","created":"2024-04-22","cited_by_count":8,"area":"diffusion"},{"id":"2407.10277","title":"Disrupting Diffusion-based Inpainters with Semantic Digression","created":"2024-07-14","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":"2305.10388","title":"Raising the Bar for Certified Adversarial Robustness with Diffusion Models","created":"2023-05-17","cited_by_count":7,"area":"diffusion"},{"id":"2409.08255","title":"LoRID: Low-Rank Iterative Diffusion for Adversarial Purification","created":"2024-09-12","cited_by_count":7,"area":"diffusion"},{"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":"2501.00054","title":"AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors","created":"2024-12-28","cited_by_count":7,"area":"diffusion"},{"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":"2602.24208","title":"SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching","created":"2026-02-27","cited_by_count":7,"area":"diffusion"},{"id":"2406.15305","title":"PID: Prompt-Independent Data Protection Against Latent Diffusion Models","created":"2024-06-14","cited_by_count":6,"area":"diffusion"},{"id":"2411.16598","title":"DiffBreak: Is Diffusion-Based Purification Robust?","created":"2024-11-25","cited_by_count":6,"area":"diffusion"},{"id":"2412.03044","title":"Frequency-Guided Diffusion Model with Perturbation Training for Skeleton-Based Video Anomaly Detection","created":"2024-12-04","cited_by_count":6,"area":"diffusion"},{"id":"2504.17219","title":"Enhancing Variational Autoencoders with Smooth Robust Latent Encoding","created":"2025-04-24","cited_by_count":6,"area":"diffusion"},{"id":"2305.08031","title":"On enhancing the robustness of Vision Transformers: Defensive Diffusion","created":"2023-05-14","cited_by_count":5,"area":"diffusion"},{"id":"2307.16865","title":"Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models","created":"2023-07-31","cited_by_count":5,"area":"diffusion"},{"id":"2310.03664","title":"Certification of Deep Learning Models for Medical Image Segmentation","created":"2023-10-05","cited_by_count":5,"area":"diffusion"},{"id":"2311.13713","title":"A Somewhat Robust Image Watermark against Diffusion-based Editing Models","created":"2023-11-22","cited_by_count":5,"area":"diffusion"}],"next_cursor":"100"}