DaST: Data-free Substitute Training for Adversarial Attacks

28 March 2020

Papers citing "DaST: Data-free Substitute Training for Adversarial Attacks"

10 / 60 papers shown

Title
Query Attack by Multi-Identity Surrogates Sizhe Chen Zhehao Huang Qinghua Tao X. Huang AAML 27 4 0 31 May 2021
Black-Box Dissector: Towards Erasing-based Hard-Label Model Stealing Attack Yixu Wang Jie Li Hong Liu Yan Wang Yongjian Wu Feiyue Huang Rongrong Ji AAML 25 34 0 03 May 2021
Delving into Data: Effectively Substitute Training for Black-box Attack Wenxuan Wang Bangjie Yin Taiping Yao Li Zhang Yanwei Fu Shouhong Ding Jilin Li Feiyue Huang Xiangyang Xue AAML 60 63 0 26 Apr 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 44 10 0 22 Apr 2021
Learning Defense Transformers for Counterattacking Adversarial Examples Jincheng Li Jiezhang Cao Yifan Zhang Jian Chen Mingkui Tan AAML 29 2 0 13 Mar 2021
QAIR: Practical Query-efficient Black-Box Attacks for Image Retrieval Xiaodan Li Jinfeng Li YueFeng Chen Shaokai Ye Yuan He Shuhui Wang Hang Su Hui Xue 11 44 0 04 Mar 2021
Practical No-box Adversarial Attacks against DNNs Qizhang Li Yiwen Guo Hao Chen AAML 19 57 0 04 Dec 2020
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles Xiaoyong Yuan Lei Ding Lan Zhang Xiaolin Li D. Wu 17 40 0 21 Sep 2020
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016