Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser

8 December 2017

Yinpeng Dong

Jun Zhu

Papers citing "Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser"

50 / 181 papers shown

Title
Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency Bo Yang Hengwei Zhang Jindong Wang Yuchen Ren Chenhao Lin Chao Shen Zhengyu Zhao AAML 24 0 0 19 May 2025
A Simple DropConnect Approach to Transfer-based Targeted Attack Tongrui Su Qingbin Li Shengyu Zhu Wei Chen Xueqi Cheng AAML 69 0 0 24 Apr 2025
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu Song Xia Xun Lin Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot AAML SILM 240 0 0 20 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang AAML 33 0 0 19 Apr 2025
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better MingWei Zhou Xiaobing Pei AAML 247 0 0 30 Mar 2025
MIGA: Mutual Information-Guided Attack on Denoising Models for Semantic Manipulation Guanghao Li Mingzhi Chen Hao Yu Shuting Dong Wenhao Jiang Ming Tang Chun Yuan DiffM AAML 51 0 0 10 Mar 2025
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation Wenyuan Wu Zheng Liu Yong Chen Chao Su Dezhong Peng Xu Wang AAML 46 0 0 24 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 75 0 0 20 Feb 2025
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN Jiayu Zhang Zhiyu Zhu Xinyi Wang Silin Liao Zhibo Jin Flora Salim Huaming Chen GAN 54 0 0 16 Feb 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 74 0 0 08 Feb 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion Dong Zhang Kwang-Ting Cheng MedIm 27 0 0 03 Jan 2025
Fall Leaf Adversarial Attack on Traffic Sign Classification Anthony Etim Jakub Szefer AAML 79 3 0 27 Nov 2024
Natias: Neuron Attribution based Transferable Image Adversarial Steganography Zexin Fan Kejiang Chen Kai Zeng Jiansong Zhang Weiming Zhang Nenghai Yu AAML 27 2 0 08 Sep 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 41 1 0 06 May 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 35 3 0 12 Apr 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 35 3 0 18 Mar 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 71 2 0 27 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 38 6 0 11 Feb 2024
Adversarial Prompt Tuning for Vision-Language Models Jiaming Zhang Xingjun Ma Xin Wang Lingyu Qiu Jiaqi Wang Yu-Gang Jiang Jitao Sang AAML VPVLM VLM 30 20 0 19 Nov 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 21 11 0 29 Sep 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 36 36 0 20 Aug 2023
Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness Zhan Hu Jun Zhu Bo Zhang Xiaolin Hu AAML 32 2 0 28 May 2023
On the Importance of Backbone to the Adversarial Robustness of Object Detectors Xiao-Li Li Hang Chen Xiaolin Hu AAML 57 4 0 27 May 2023
IDEA: Invariant Defense for Graph Adversarial Robustness Shuchang Tao Qi Cao Huawei Shen Yunfan Wu Bingbing Xu Xueqi Cheng AAML OOD 43 7 0 25 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 57 51 0 18 May 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 54 18 0 20 Apr 2023
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model Dingcheng Yang Wenjian Yu Zihao Xiao Jiaqi Luo AAML DiffM 31 5 0 14 Apr 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 33 56 0 16 Mar 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 42 1 0 13 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 25 2 0 10 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 40 75 0 28 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao Xinyu Lin B. Kailkhura Ryan Goldh AAML 22 9 0 23 Feb 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 37 3 0 30 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 29 4 0 18 Jan 2023
Adversarial Example Defense via Perturbation Grading Strategy Shaowei Zhu Wanli Lyu Bin Li Z. Yin Bin Luo AAML 37 1 0 16 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip Torr Jiaya Jia AAML 39 2 0 11 Dec 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization Jiafeng Wang Zhaoyu Chen Kaixun Jiang Dingkang Yang Lingyi Hong Pinxue Guo Yan Wang Wenqiang Zhang AAML 38 27 0 21 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 49 10 0 19 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 29 20 0 17 Nov 2022
Ares: A System-Oriented Wargame Framework for Adversarial ML Farhan Ahmed Pratik Vaishnavi Kevin Eykholt Amir Rahmati AAML 25 7 0 24 Oct 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 32 49 0 08 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks Shengming Yuan Qilong Zhang Lianli Gao Yaya Cheng Jingkuan Song AAML 29 42 0 05 Oct 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning Zhengwei Fang Rui Wang Tao Huang L. Jing AAML 40 5 0 24 Sep 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System Xin Li Yao Qiang Chengyin Li Sijia Liu D. Zhu OOD MedIm 42 4 0 09 Sep 2022
Improving Adversarial Robustness via Mutual Information Estimation Dawei Zhou Nannan Wang Xinbo Gao Bo Han Xiaoyu Wang Yibing Zhan Tongliang Liu AAML 19 15 0 25 Jul 2022
Towards Efficient Adversarial Training on Vision Transformers Boxi Wu Jindong Gu Zhifeng Li Deng Cai Xiaofei He Wei Liu ViT AAML 48 38 0 21 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long Qi-li Zhang Boheng Zeng Lianli Gao Xianglong Liu Jian Zhang Jingkuan Song AAML 37 156 0 12 Jul 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 32 7 0 12 Jul 2022
Threat Assessment in Machine Learning based Systems L. Tidjon Foutse Khomh 27 17 0 30 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 36 5 0 16 Jun 2022