ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.04337
  4. Cited By
Adversarial Token Attacks on Vision Transformers

Adversarial Token Attacks on Vision Transformers

8 October 2021
Ameya Joshi
Gauri Jagatap
C. Hegde
    ViT
ArXivPDFHTML

Papers citing "Adversarial Token Attacks on Vision Transformers"

13 / 13 papers shown
Title
Multi-Attribute Vision Transformers are Efficient and Robust Learners
Multi-Attribute Vision Transformers are Efficient and Robust Learners
Hanan Gani
Nada Saadi
Noor Hussein
Karthik Nandakumar
ViT
9
0
0
12 Feb 2024
Towards Efficient Adversarial Training on Vision Transformers
Towards Efficient Adversarial Training on Vision Transformers
Boxi Wu
Jindong Gu
Zhifeng Li
Deng Cai
Xiaofei He
Wei Liu
ViT
AAML
26
37
0
21 Jul 2022
Revealing Secrets From Pre-trained Models
Revealing Secrets From Pre-trained Models
Mujahid Al Rafi
Yuan Feng
Hyeran Jeon
11
0
0
19 Jul 2022
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Defending Backdoor Attacks on Vision Transformer via Patch Processing
Khoa D. Doan
Yingjie Lao
Peng Yang
Ping Li
AAML
25
20
0
24 Jun 2022
Give Me Your Attention: Dot-Product Attention Considered Harmful for
  Adversarial Patch Robustness
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness
Giulio Lovisotto
Nicole Finnie
Mauricio Muñoz
Chaithanya Kumar Mummadi
J. H. Metzen
AAML
ViT
17
32
0
25 Mar 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
F. Khan
H. Fu
ViT
LM&MA
MedIm
106
660
0
24 Jan 2022
DBIA: Data-free Backdoor Injection Attack against Transformer Networks
DBIA: Data-free Backdoor Injection Attack against Transformer Networks
Peizhuo Lv
Hualong Ma
Jiachen Zhou
Ruigang Liang
Kai Chen
Shengzhi Zhang
Yunfei Yang
19
15
0
22 Nov 2021
Are Vision Transformers Robust to Patch Perturbations?
Are Vision Transformers Robust to Patch Perturbations?
Jindong Gu
Volker Tresp
Yao Qin
AAML
ViT
25
59
0
20 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training
LTD: Low Temperature Distillation for Robust Adversarial Training
Erh-Chung Chen
Che-Rung Lee
AAML
19
26
0
03 Nov 2021
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
Adversarially Robust Learning via Entropic Regularization
Adversarially Robust Learning via Entropic Regularization
Gauri Jagatap
Ameya Joshi
A. B. Chowdhury
S. Garg
C. Hegde
OOD
17
11
0
27 Aug 2020
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
174
302
0
21 May 2018
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
1