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Improving the Transferability of Adversarial Examples by Feature
  Augmentation

Improving the Transferability of Adversarial Examples by Feature Augmentation

9 July 2024
Donghua Wang
Wen Yao
Tingsong Jiang
Xiaohu Zheng
Junqi Wu
Xiaoqian Chen
    AAML
ArXivPDFHTML

Papers citing "Improving the Transferability of Adversarial Examples by Feature Augmentation"

6 / 6 papers shown
Title
Visformer: The Vision-friendly Transformer
Visformer: The Vision-friendly Transformer
Zhengsu Chen
Lingxi Xie
Jianwei Niu
Xuefeng Liu
Longhui Wei
Qi Tian
ViT
109
209
0
26 Apr 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in
  Physical World
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Jiakai Wang
Aishan Liu
Zixin Yin
Shunchang Liu
Shiyu Tang
Xianglong Liu
AAML
133
194
0
01 Mar 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
78
192
0
31 Jan 2021
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
294
10,216
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
249
36,362
0
25 Aug 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
275
5,833
0
08 Jul 2016
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