{"total":26,"rows":[{"id":"2304.01247","title":"Generative Diffusion Prior for Unified Image Restoration and Enhancement","created":"2023-04-03","cited_by_count":199,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2305.00562","title":"Class-Balancing Diffusion Models","created":"2023-04-30","cited_by_count":48,"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":"2211.00322","title":"DensePure: Understanding Diffusion Models towards Adversarial Robustness","created":"2022-11-01","cited_by_count":33,"area":"diffusion"},{"id":"2307.04333","title":"Enhancing Adversarial Robustness via Score-Based Optimization","created":"2023-07-10","cited_by_count":19,"area":"diffusion"},{"id":"2301.11558","title":"Accelerating Guided Diffusion Sampling with Splitting Numerical Methods","created":"2023-01-27","cited_by_count":13,"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":"2309.07398","title":"Semantic Adversarial Attacks via Diffusion Models","created":"2023-09-14","cited_by_count":12,"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":"2301.13862","title":"Salient Conditional Diffusion for Defending Against Backdoor Attacks","created":"2023-01-31","cited_by_count":7,"area":"diffusion"},{"id":"2311.13629","title":"Diffusion models meet image counter-forensics","created":"2023-11-22","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":"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":"2312.07981","title":"Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal Generation","created":"2023-12-13","cited_by_count":4,"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":"2307.11118","title":"Diffusion Sampling with Momentum for Mitigating Divergence Artifacts","created":"2023-07-20","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":"2407.00623","title":"Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness","created":"2024-06-30","cited_by_count":2,"area":"diffusion"},{"id":"2408.08502","title":"Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness","created":"2024-08-16","cited_by_count":2,"area":"diffusion"},{"id":"2406.17606","title":"Diffusion-based Adversarial Purification for Intrusion Detection","created":"2024-06-25","cited_by_count":1,"area":"diffusion"},{"id":"2311.13841","title":"Adversarial defense based on distribution transfer","created":"2023-11-23","cited_by_count":0,"area":"diffusion"},{"id":"2408.02710","title":"RCDM: Enabling Robustness for Conditional Diffusion Model","created":"2024-08-05","cited_by_count":0,"area":"diffusion"},{"id":"2507.08163","title":"Adaptive Diffusion Denoised Smoothing : Certified Robustness via Randomized Smoothing with Differentially Private Guided Denoising Diffusion","created":"2025-07-10","cited_by_count":0,"area":"diffusion"},{"id":"2610.13690","title":"Transformer-based In-Context Score Operator Learning for Diffusion Models","created":"2026-10-09","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}