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 / 148 papers shown

Title
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 151 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 28 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 152 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 37 0 0 24 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 62 0 0 20 Feb 2025
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion Dong Zhang Kwang-Ting Cheng MedIm 20 0 0 03 Jan 2025
Fall Leaf Adversarial Attack on Traffic Sign Classification Anthony Etim Jakub Szefer AAML 73 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 18 2 0 08 Sep 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 36 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 30 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 68 1 0 27 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 33 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 18 0 19 Nov 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 16 11 0 29 Sep 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 28 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 24 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 38 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 32 6 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 37 50 0 18 May 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 42 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 21 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 28 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 X. Lin Sijia Liu AAML MLAU 29 1 0 13 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang X. Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 33 72 0 28 Feb 2023
Less is More: Data Pruning for Faster Adversarial Training Yize Li Pu Zhao X. Lin B. Kailkhura Ryan Goldh AAML 15 9 0 23 Feb 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 32 3 0 30 Jan 2023
Adversarial Example Defense via Perturbation Grading Strategy Shaowei Zhu Wanli Lyu Bin Li Z. Yin Bin Luo AAML 27 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 H. S. Torr Jiaya Jia AAML 26 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 26 27 0 21 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 43 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 27 20 0 17 Nov 2022
ViewFool: Evaluating the Robustness of Visual Recognition to Adversarial Viewpoints Yinpeng Dong Shouwei Ruan Hang Su Cai Kang Xingxing Wei Junyi Zhu AAML 30 50 0 08 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks Shengming Yuan Qilong Zhang Lianli Gao Yaya Cheng Jingkuan Song AAML 24 42 0 05 Oct 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning Zhengwei Fang Rui Wang Tao Huang L. Jing AAML 16 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 29 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 16 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 43 37 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 26 154 0 12 Jul 2022
Bi-fidelity Evolutionary Multiobjective Search for Adversarially Robust Deep Neural Architectures Jia-Wei Liu Ran Cheng Yaochu Jin AAML 24 7 0 12 Jul 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 30 5 0 16 Jun 2022
AI Ethics Issues in Real World: Evidence from AI Incident Database Mengyi Wei Zhixuan Zhou 11 40 0 15 Jun 2022
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 19 2 0 08 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 23 0 0 01 Jun 2022
Transferable Adversarial Attack based on Integrated Gradients Y. Huang A. Kong AAML 35 50 0 26 May 2022
Robust Representation via Dynamic Feature Aggregation Haozhe Liu Haoqin Ji Yuexiang Li Nanjun He Haoqian Wu Feng Liu Linlin Shen Yefeng Zheng AAML OOD 32 3 0 16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 34 4 0 15 May 2022
Self-recoverable Adversarial Examples: A New Effective Protection Mechanism in Social Networks Jiawei Zhang Jinwei Wang Hao Wang X. Luo AAML 25 28 0 26 Apr 2022