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AutoAugment Input Transformation for Highly Transferable Targeted
  Attacks

AutoAugment Input Transformation for Highly Transferable Targeted Attacks

21 December 2023
Haobo Lu
Xin Liu
Kun He
    AAML
ArXivPDFHTML

Papers citing "AutoAugment Input Transformation for Highly Transferable Targeted Attacks"

4 / 4 papers shown
Title
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
83
193
0
31 Jan 2021
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,368
0
07 Oct 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
309
36,371
0
25 Aug 2016
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