STBA: Towards Evaluating the Robustness of DNNs for Query-Limited
Black-box Scenario

STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario

30 March 2024

Kwok-Yan Lam

Jun Zhao

Papers citing "STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario"

6 / 6 papers shown

Title
Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli Samyak Jain R. Venkatesh Babu AAML 78 59 0 27 Oct 2022
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
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 681 0 19 Oct 2020
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack Minhao Cheng Simranjit Singh Patrick H. Chen Pin-Yu Chen Sijia Liu Cho-Jui Hsieh AAML 134 219 0 24 Sep 2019
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 348 36,437 0 25 Aug 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 350 5,849 0 08 Jul 2016