{"total":17,"rows":[{"id":"2307.12499","title":"AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models","created":"2023-07-24","cited_by_count":46,"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":"2311.12066","title":"EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models","created":"2023-11-19","cited_by_count":27,"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":"2311.11017","title":"Improving Adversarial Transferability by Stable Diffusion","created":"2023-11-18","cited_by_count":22,"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":"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":"2312.15826","title":"Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion","created":"2023-12-25","cited_by_count":5,"area":"diffusion"},{"id":"2409.09406","title":"Real-world Adversarial Defense against Patch Attacks based on Diffusion Model","created":"2024-09-14","cited_by_count":5,"area":"diffusion"},{"id":"2408.05479","title":"ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack","created":"2024-08-10","cited_by_count":3,"area":"diffusion"},{"id":"2504.11923","title":"SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models","created":"2025-04-16","cited_by_count":3,"area":"diffusion"},{"id":"2506.01511","title":"Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment","created":"2025-06-02","cited_by_count":3,"area":"diffusion"},{"id":"2507.06078","title":"ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion Models","created":"2025-07-08","cited_by_count":3,"area":"diffusion"},{"id":"2408.11408","title":"Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets Protection","created":"2024-08-21","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":"2410.13122","title":"Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum","created":"2024-10-17","cited_by_count":0,"area":"diffusion"},{"id":"2509.19044","title":"Latent Danger Zone: Distilling Unified Attention for Cross-Architecture Black-box Attacks","created":"2025-09-23","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}