{"total":34,"rows":[{"id":"2305.15241","title":"Robust Classification via a Single Diffusion Model","created":"2023-05-24","cited_by_count":79,"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":"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":"2408.00315","title":"ADBM: Adversarial diffusion bridge model for reliable adversarial purification","created":"2024-08-01","cited_by_count":24,"area":"diffusion"},{"id":"2411.16308","title":"An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models","created":"2024-11-25","cited_by_count":23,"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":"2312.04802","title":"MimicDiffusion: Purifying Adversarial Perturbation via Mimicking Clean Diffusion Model","created":"2023-12-08","cited_by_count":18,"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":"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":"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":"2401.12578","title":"ToDA: Target-oriented Diffusion Attacker against Recommendation System","created":"2024-01-23","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":"2412.09910","title":"Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attacks on Breast Ultrasound Images","created":"2024-12-13","cited_by_count":4,"area":"diffusion"},{"id":"2302.10688","title":"On Calibrating Diffusion Probabilistic Models","created":"2023-02-21","cited_by_count":3,"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":"2410.24006","title":"DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination","created":"2024-10-31","cited_by_count":2,"area":"diffusion"},{"id":"2503.09221","title":"Active Learning Inspired ControlNet Guidance for Augmenting Semantic Segmentation Datasets","created":"2025-03-12","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":"2504.11034","title":"Defending Against Frequency-Based Attacks with Diffusion Models","created":"2025-04-15","cited_by_count":1,"area":"diffusion"},{"id":"2509.25082","title":"MANI-Pure: Magnitude-Adaptive Noise Injection for Adversarial Purification","created":"2025-09-29","cited_by_count":1,"area":"diffusion"},{"id":"2606.17606","title":"Flux-Guard: Facial Identity Protection using diffusion models","created":"2026-06-16","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":"2402.04699","title":"Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!","created":"2024-02-07","cited_by_count":0,"area":"diffusion"},{"id":"2501.16904","title":"Diffusion or Non-Diffusion Adversarial Defenses: Rethinking the Relation between Classifier and Adversarial Purifier","created":"2025-01-28","cited_by_count":0,"area":"diffusion"},{"id":"2505.21742","title":"What is Adversarial Training for Diffusion Models?","created":"2025-05-27","cited_by_count":0,"area":"diffusion"},{"id":"2506.09955","title":"Canonical Latent Representations in Conditional Diffusion Models","created":"2025-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2601.02228","title":"FMVP: Masked Flow Matching for Adversarial Video Purification","created":"2026-01-05","cited_by_count":0,"area":"diffusion"},{"id":"2602.19931","title":"Expanding the Role of Diffusion Models for Robust Classifier Training","created":"2026-02-23","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"},{"id":"2606.27696","title":"Class-frequency Guided Noise Schedule for Diffusion Models","created":"2026-06-26","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}