FDA: Feature Disruptive Attack

10 September 2019

Papers citing "FDA: Feature Disruptive Attack"

23 / 23 papers shown

Title
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 196 0 0 20 Apr 2025
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation Wenyuan Wu Zheng Liu Yong Chen Chao Su Dezhong Peng Xu Wang AAML 39 0 0 24 Feb 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 66 0 0 08 Feb 2025
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 Training-Free Defense Framework for Robust Learned Image Compression Myungseo Song Jinyoung Choi Bohyung Han AAML 27 4 0 22 Jan 2024
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 40 16 0 01 Oct 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 38 5 0 15 Aug 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Juanjuan Weng Zhiming Luo Dazhen Lin Shaozi Li Zhun Zhong AAML FedML 45 7 0 02 May 2023
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip Torr Jiaya Jia AAML 32 2 0 11 Dec 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
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
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 45 130 0 31 Mar 2022
Investigating Top- $k$ White-Box and Transferable Black-box Attack Chaoning Zhang Philipp Benz Adil Karjauv Jae-Won Cho Kang Zhang In So Kweon 31 42 0 30 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation Qilong Zhang Chaoning Zhang Chaoning Zhang Chaoqun Li Xuanhan Wang Jingkuan Song Lianli Gao AAML 38 21 0 09 Mar 2022
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning Tong Chen Zhan Ma AAML 28 29 0 16 Dec 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack Yunxiao Qin Yuanhao Xiong Jinfeng Yi Cho-Jui Hsieh AAML 20 18 0 05 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 31 236 0 01 Aug 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee VLM 27 7 0 30 Apr 2021
KoDF: A Large-scale Korean DeepFake Detection Dataset Patrick Kwon J. You Gyuhyeon Nam Sungwoo Park Gyeongsu Chae 29 100 0 18 Mar 2021
Single-step Adversarial training with Dropout Scheduling S. VivekB. R. Venkatesh Babu OOD AAML 18 71 0 18 Apr 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 36 38 0 26 Feb 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 293 5,842 0 08 Jul 2016