Guided Diffusion Model for Adversarial Purification from Random Noise

22 June 2022

Papers citing "Guided Diffusion Model for Adversarial Purification from Random Noise"

31 / 31 papers shown

Title
DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification Chihan Huang Belal Alsinglawi Islam Al-qudah DiffM AAML 150 0 0 01 Aug 2025
LISArD: Learning Image Similarity to Defend Against Gray-box Adversarial Attacks Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 283 1 0 27 Feb 2025
Trustworthy Federated Learning: Privacy, Security, and BeyondKnowledge and Information Systems (KAIS), 2024 Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 280 39 0 03 Nov 2024
Test-time Adversarial Defense with Opposite Adversarial Path and High Attack Time Cost Cheng-Han Yeh Kuanchun Yu Chun-Shien Lu DiffM AAML 492 1 0 22 Oct 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial PurificationIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024 Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 163 3 0 20 Aug 2024
Efficient Image-to-Image Diffusion Classifier for Adversarial RobustnessAAAI Conference on Artificial Intelligence (AAAI), 2024 Hefei Mei Minjing Dong Chang Xu AAML 428 1 0 16 Aug 2024
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive InformationEuropean Conference on Artificial Intelligence (ECAI), 2024 Mingkun Zhang Jianing Li Wei Chen Jiafeng Guo Xueqi Cheng 249 9 0 12 Aug 2024
RCDM: Enabling Robustness for Conditional Diffusion Model Weifeng Xu Xiang Zhu Xiaoyong Li AAML 239 0 0 05 Aug 2024
Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness Yiquan Li Zhongzhu Chen Kun Jin Jiongxiao Wang Bo Li Chaowei Xiao DiffM 173 2 0 30 Jun 2024
Diffusion-based Adversarial Purification for Intrusion Detection Mohamed Amine Merzouk Erwan Beurier Reda Yaich Nora Boulahia-Cuppens Frédéric Cuppens AAML 301 0 0 25 Jun 2024
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective Yiming Liu Kezhao Liu Yao Xiao Ziyi Dong Xiaogang Xu Pengxu Wei Liang Lin DiffM 216 6 0 22 Apr 2024
An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization Minshuo Chen Song Mei Jianqing Fan Mengdi Wang VLM MedIm DiffM 276 81 0 11 Apr 2024
Adversarial Guided Diffusion Models for Adversarial PurificationNeural Networks (NN), 2024 Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 525 7 0 24 Mar 2024
Time Series Diffusion Method: A Denoising Diffusion Probabilistic Model for Vibration Signal GenerationMechanical systems and signal processing (MSSP), 2023 H. Yi Lei Hou Yuhong Jin N. A. Saeed Ali Kandil Hao Duan DiffM 157 51 0 13 Dec 2023
Adversarial defense based on distribution transfer Jiahao Chen Diqun Yan Li Dong 169 0 0 23 Nov 2023
Diffusion models meet image counter-forensicsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Matías Tailanián Marina Gardella Álvaro Pardo Pablo Musé WIGM 209 8 0 22 Nov 2023
Asymmetric Diffusion Based Channel-Adaptive Secure Wireless Semantic Communications Xintian Ren Jun Wu Hansong Xu Qianqian Pan DiffM 170 4 0 30 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 186 15 0 28 Oct 2023
DiffAttack: Evasion Attacks Against Diffusion-Based Adversarial PurificationNeural Information Processing Systems (NeurIPS), 2023 Mintong Kang Basel Alomair Yue Liu 266 46 0 27 Oct 2023
Semantic Adversarial Attacks via Diffusion ModelsBritish Machine Vision Conference (BMVC), 2023 Chenan Wang Jinhao Duan Chaowei Xiao Edward Kim Matthew C. Stamm Kaidi Xu DiffM 162 16 0 14 Sep 2023
DiffDefense: Defending against Adversarial Attacks via Diffusion ModelsInternational Conference on Image Analysis and Processing (ICIAP), 2023 Hondamunige Prasanna Silva Lorenzo Seidenari Marco Bertini DiffM 132 9 0 07 Sep 2023
Diffusion Sampling with Momentum for Mitigating Divergence ArtifactsInternational Conference on Learning Representations (ICLR), 2023 Suttisak Wizadwongsa Worameth Chinchuthakun Pramook Khungurn Amit Raj Supasorn Suwajanakorn DiffM 254 2 0 20 Jul 2023
Enhancing Adversarial Robustness via Score-Based OptimizationNeural Information Processing Systems (NeurIPS), 2023 Boya Zhang Weijian Luo Zhihua Zhang DiffM 314 16 0 10 Jul 2023
Generative Watermarking Against Unauthorized Subject-Driven Image Synthesis Yi Ma Subrat Kishore Dutta Xinlei He Zheng Li Michael Backes Yang Zhang AAML WIGM 156 26 0 13 Jun 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and ControllabilityNeural Information Processing Systems (NeurIPS), 2023 Haotian Xue Alexandre Araujo Bin Hu Yongxin Chen DiffM 423 80 0 25 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & DefensesIEEE Access (IEEE Access), 2023 Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 346 104 0 18 May 2023
Class-Balancing Diffusion ModelsComputer Vision and Pattern Recognition (CVPR), 2023 Yiming Qin Huangjie Zheng Jiangchao Yao Mingyuan Zhou Ya Zhang DiffM 291 58 0 30 Apr 2023
Generative Diffusion Prior for Unified Image Restoration and EnhancementComputer Vision and Pattern Recognition (CVPR), 2023 Ben Fei Zhaoyang Lyu Liang Pan Junzhe Zhang Weidong Yang Tian-jian Luo Bo Zhang Bo Dai DiffM 291 264 0 03 Apr 2023
Salient Conditional Diffusion for Defending Against Backdoor Attacks Brandon B. May N. Joseph Tatro Dylan Walker Piyush Kumar N. Shnidman DiffM 188 10 0 31 Jan 2023
Accelerating Guided Diffusion Sampling with Splitting Numerical MethodsInternational Conference on Learning Representations (ICLR), 2023 Suttisak Wizadwongsa Supasorn Suwajanakorn DiffM 232 17 0 27 Jan 2023
DensePure: Understanding Diffusion Models towards Adversarial Robustness Chaowei Xiao Zhongzhu Chen Kun Jin Zhenghao Hu Weili Nie Mingyan D. Liu Anima Anandkumar Yue Liu Basel Alomair DiffM 269 47 0 01 Nov 2022