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Towards Efficiently Evaluating the Robustness of Deep Neural Networks in
  IoT Systems: A GAN-based Method

Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method

19 November 2021
Tao Bai
Jun Zhao
Jinlin Zhu
Shoudong Han
Jiefeng Chen
Bo-wen Li
Alex C. Kot
    AAML
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Papers citing "Towards Efficiently Evaluating the Robustness of Deep Neural Networks in IoT Systems: A GAN-based Method"

5 / 5 papers shown
Title
Recent Advances in Adversarial Training for Adversarial Robustness
Recent Advances in Adversarial Training for Adversarial Robustness
Tao Bai
Jinqi Luo
Jun Zhao
B. Wen
Qian Wang
AAML
71
473
0
02 Feb 2021
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
174
302
0
21 May 2018
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,444
0
21 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
224
3,190
0
30 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
257
5,833
0
08 Jul 2016
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