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Dynamic Defense Approach for Adversarial Robustness in Deep Neural
  Networks via Stochastic Ensemble Smoothed Model

Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model

6 May 2021
Ruoxi Qin
Linyuan Wang
Xing-yuan Chen
Xuehui Du
Bin Yan
    AAML
ArXivPDFHTML

Papers citing "Dynamic Defense Approach for Adversarial Robustness in Deep Neural Networks via Stochastic Ensemble Smoothed Model"

4 / 4 papers shown
Title
Benchmarking Adversarial Robustness
Benchmarking Adversarial Robustness
Yinpeng Dong
Qi-An Fu
Xiao Yang
Tianyu Pang
Hang Su
Zihao Xiao
Jun Zhu
AAML
23
36
0
26 Dec 2019
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
263
10,196
0
16 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,108
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,830
0
08 Jul 2016
1