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Downstream Transfer Attack: Adversarial Attacks on Downstream Models
  with Pre-trained Vision Transformers

Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers

3 August 2024
Weijie Zheng
Xingjun Ma
Hanxun Huang
Zuxuan Wu
Yu-Gang Jiang
    AAML
ArXivPDFHTML

Papers citing "Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers"

5 / 5 papers shown
Title
Pre-trained Adversarial Perturbations
Pre-trained Adversarial Perturbations
Y. Ban
Yinpeng Dong
AAML
57
22
0
07 Oct 2022
AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition
Shoufa Chen
Chongjian Ge
Zhan Tong
Jiangliu Wang
Yibing Song
Jue Wang
Ping Luo
141
635
0
26 May 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for
  Black-box Domains
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains
Qilong Zhang
Xiaodan Li
YueFeng Chen
Jingkuan Song
Lianli Gao
Yuan He
Hui Xue
AAML
62
64
0
27 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,412
0
11 Nov 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
292
5,761
0
29 Apr 2021
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