{"total":23,"rows":[{"id":"2205.07460","title":"Diffusion Models for Adversarial Purification","created":"2022-05-16","cited_by_count":476,"area":"diffusion"},{"id":"2302.04638","title":"Better Diffusion Models Further Improve Adversarial Training","created":"2023-02-09","cited_by_count":208,"area":"diffusion"},{"id":"2305.15241","title":"Robust Classification via a Single Diffusion Model","created":"2023-05-24","cited_by_count":79,"area":"diffusion"},{"id":"2110.00473","title":"Score-Based Generative Classifiers","created":"2021-10-01","cited_by_count":53,"area":"diffusion"},{"id":"2302.10586","title":"Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels","created":"2023-02-21","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":"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":"2402.02316","title":"Your Diffusion Model is Secretly a Certifiably Robust Classifier","created":"2024-02-04","cited_by_count":24,"area":"diffusion"},{"id":"2308.14333","title":"DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing","created":"2023-08-28","cited_by_count":20,"area":"diffusion"},{"id":"2307.04333","title":"Enhancing Adversarial Robustness via Score-Based Optimization","created":"2023-07-10","cited_by_count":19,"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":"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":"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":"2409.08255","title":"LoRID: Low-Rank Iterative Diffusion for Adversarial Purification","created":"2024-09-12","cited_by_count":7,"area":"diffusion"},{"id":"2408.05900","title":"Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information","created":"2024-08-12","cited_by_count":5,"area":"diffusion"},{"id":"2410.23091","title":"CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense","created":"2024-10-30","cited_by_count":4,"area":"diffusion"},{"id":"2502.17099","title":"Improved Diffusion-based Generative Model with Better Adversarial Robustness","created":"2025-02-24","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":"2401.06637","title":"Adversarial Examples are Misaligned in Diffusion Model Manifolds","created":"2024-01-12","cited_by_count":1,"area":"diffusion"},{"id":"2412.08394","title":"Adversarial Purification by Consistency-aware Latent Space Optimization on Data Manifolds","created":"2024-12-11","cited_by_count":0,"area":"diffusion"},{"id":"2601.01109","title":"NADD: Amplifying Noise for Effective Diffusion-based Adversarial Purification","created":"2026-01-03","cited_by_count":0,"area":"diffusion"},{"id":"2605.08440","title":"TARO: Temporal Adversarial Rectification Optimization Using Diffusion Models as Purifiers","created":"2026-05-08","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}