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Attention-Guided Black-box Adversarial Attacks with Large-Scale
  Multiobjective Evolutionary Optimization

Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization

19 January 2021
Jie Wang
Z. Yin
Jing Jiang
Yang Du
    AAML
ArXivPDFHTML

Papers citing "Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization"

6 / 6 papers shown
Title
SUNY: A Visual Interpretation Framework for Convolutional Neural
  Networks from a Necessary and Sufficient Perspective
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective
Xiwei Xuan
Ziquan Deng
Hsuan-Tien Lin
Z. Kong
Kwan-Liu Ma
AAML
FAtt
14
2
0
01 Mar 2023
Adversarial Example Defense via Perturbation Grading Strategy
Adversarial Example Defense via Perturbation Grading Strategy
Shaowei Zhu
Wanli Lyu
Bin Li
Z. Yin
Bin Luo
AAML
17
1
0
16 Dec 2022
Delving into Data: Effectively Substitute Training for Black-box Attack
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
GreedyFool: Multi-Factor Imperceptibility and Its Application to
  Designing a Black-box Adversarial Attack
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack
Hui Liu
Bo Zhao
Minzhi Ji
Peng Liu
AAML
14
6
0
14 Oct 2020
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
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