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ADAPT to Robustify Prompt Tuning Vision Transformers
v1v2 (latest)

ADAPT to Robustify Prompt Tuning Vision Transformers

19 March 2024
Masih Eskandar
Tooba Imtiaz
Zifeng Wang
Jennifer Dy
    VPVLMVLMAAML
ArXiv (abs)PDFHTML

Papers citing "ADAPT to Robustify Prompt Tuning Vision Transformers"

35 / 35 papers shown
Title
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial
  Transferability
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability
Bin Chen
Jia-Li Yin
Shukai Chen
Bo-Hao Chen
Ximeng Liu
AAML
139
58
0
05 Aug 2023
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Mrigank Raman
Pratyush Maini
J. Zico Kolter
Zachary Chase Lipton
Danish Pruthi
AAML
101
18
0
13 Mar 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
243
683
0
10 Feb 2023
When Adversarial Training Meets Vision Transformers: Recipes from
  Training to Architecture
When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture
Yi Mo
Dongxian Wu
Yifei Wang
Yiwen Guo
Yisen Wang
ViT
134
71
0
14 Oct 2022
Visual Prompting for Adversarial Robustness
Visual Prompting for Adversarial Robustness
Aochuan Chen
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLMVPVLM
180
42
0
12 Oct 2022
Prompt Vision Transformer for Domain Generalization
Prompt Vision Transformer for Domain Generalization
Zangwei Zheng
Xiangyu Yue
Kai Wang
Yang You
VLMVPVLMMDE
145
56
0
18 Aug 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLMVPVLM
361
1,959
0
23 Mar 2022
A Prompting-based Approach for Adversarial Example Generation and
  Robustness Enhancement
A Prompting-based Approach for Adversarial Example Generation and Robustness Enhancement
Yuting Yang
Pei Huang
Juan Cao
Jintao Li
Yun Lin
Jin Song Dong
Feifei Ma
Jian Zhang
AAMLSILM
143
15
0
21 Mar 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Pau de Jorge
Adel Bibi
Riccardo Volpi
Amartya Sanyal
Juil Sock
Grégory Rogez
P. Dokania
AAML
161
51
0
02 Feb 2022
Learning to Prompt for Continual Learning
Learning to Prompt for Continual Learning
Zifeng Wang
Zizhao Zhang
Chen-Yu Lee
Han Zhang
Ruoxi Sun
Xiaoqi Ren
Guolong Su
Vincent Perot
Jennifer Dy
Tomas Pfister
CLLVPVLMKELMVLM
197
933
0
16 Dec 2021
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
ViTTPM
1.1K
8,830
0
11 Nov 2021
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
349
929
0
14 Oct 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods
  in Natural Language Processing
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
Pengfei Liu
Weizhe Yuan
Jinlan Fu
Zhengbao Jiang
Hiroaki Hayashi
Graham Neubig
VLMSyDa
577
4,392
0
28 Jul 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Edouard Grave
Julien Mairal
Piotr Bojanowski
Armand Joulin
1.5K
6,986
0
29 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
1.1K
4,524
0
18 Apr 2021
On the Robustness of Vision Transformers to Adversarial Examples
On the Robustness of Vision Transformers to Adversarial Examples
Kaleel Mahmood
Rigel Mahmood
Marten van Dijk
ViT
232
232
0
31 Mar 2021
Grey-box Adversarial Attack And Defence For Sentiment Classification
Grey-box Adversarial Attack And Defence For Sentiment Classification
Ying Xu
Xu Zhong
Antonio Jimeno Yepes
Jey Han Lau
VLMAAML
122
56
0
22 Mar 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
501
4,761
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
613
2,072
0
31 Dec 2020
Training data-efficient image transformers & distillation through
  attention
Training data-efficient image transformers & distillation through attentionInternational Conference on Machine Learning (ICML), 2024
Hugo Touvron
Matthieu Cord
Matthijs Douze
Francisco Massa
Alexandre Sablayrolles
Edouard Grave
ViT
465
7,417
0
23 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.0K
46,948
0
22 Oct 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack
RayS: A Ray Searching Method for Hard-label Adversarial AttackKnowledge Discovery and Data Mining (KDD), 2024
Jinghui Chen
Quanquan Gu
AAML
157
144
0
23 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
1.6K
46,762
0
28 May 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacksInternational Conference on Machine Learning (ICML), 2024
Francesco Croce
Matthias Hein
AAML
492
1,991
0
03 Mar 2020
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
Jingfeng Zhang
Xilie Xu
Bo Han
Gang Niu
Li-zhen Cui
Masashi Sugiyama
Mohan S. Kankanhalli
AAML
96
422
0
26 Feb 2020
Theoretically Principled Trade-off between Robustness and Accuracy
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
461
2,690
0
24 Jan 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
2.6K
100,059
0
11 Oct 2018
Adversarial Reprogramming of Neural Networks
Adversarial Reprogramming of Neural Networks
Gamaleldin F. Elsayed
Ian Goodfellow
Jascha Narain Sohl-Dickstein
OODAAML
106
188
0
28 Jun 2018
Black-box Adversarial Attacks with Limited Queries and Information
Black-box Adversarial Attacks with Limited Queries and Information
Andrew Ilyas
Logan Engstrom
Anish Athalye
Jessy Lin
MLAUAAML
348
1,238
0
23 Apr 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
568
3,270
0
01 Feb 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
750
12,808
0
19 Jun 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
1.7K
143,753
0
12 Jun 2017
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OODAAML
605
8,906
0
16 Aug 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
857
19,885
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
454
15,376
1
21 Dec 2013
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