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DI-AA: An Interpretable White-box Attack for Fooling Deep Neural
  Networks

DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks

14 October 2021
Yixiang Wang
Jiqiang Liu
Xiaolin Chang
Jianhua Wang
Ricardo J. Rodríguez
    AAML
ArXivPDFHTML

Papers citing "DI-AA: An Interpretable White-box Attack for Fooling Deep Neural Networks"

3 / 3 papers shown
Title
Iterative Adversarial Attack on Image-guided Story Ending Generation
Iterative Adversarial Attack on Image-guided Story Ending Generation
Youze Wang
Wenbo Hu
Richang Hong
32
3
0
16 May 2023
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization
  Perspective
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective
Yimeng Zhang
Yuguang Yao
Jinghan Jia
Jinfeng Yi
Min-Fong Hong
Shiyu Chang
Sijia Liu
AAML
18
33
0
27 Mar 2022
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
1