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Enhancing Targeted Attack Transferability via Diversified Weight Pruning

Enhancing Targeted Attack Transferability via Diversified Weight Pruning

18 August 2022
Hung-Jui Wang
Yuehua Wu
Shang-Tse Chen
    AAML
ArXivPDFHTML

Papers citing "Enhancing Targeted Attack Transferability via Diversified Weight Pruning"

6 / 6 papers shown
Title
How to choose your best allies for a transferable attack?
How to choose your best allies for a transferable attack?
Thibault Maho
Seyed-Mohsen Moosavi-Dezfooli
Teddy Furon
AAML
11
1
0
05 Apr 2023
Adversarial Attack via Dual-Stage Network Erosion
Adversarial Attack via Dual-Stage Network Erosion
Yexin Duan
Junhua Zou
Xingyu Zhou
Wu Zhang
Jin Zhang
Zhisong Pan
AAML
SILM
19
5
0
01 Jan 2022
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,600
0
04 May 2021
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
68
192
0
31 Jan 2021
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 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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