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SA-Attack: Improving Adversarial Transferability of Vision-Language
  Pre-training Models via Self-Augmentation

SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation

8 December 2023
Bangyan He
Xiaojun Jia
Siyuan Liang
Tianrui Lou
Yang Liu
Xiaochun Cao
    AAML
    VLM
ArXivPDFHTML

Papers citing "SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation"

23 / 23 papers shown
Title
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
Hanxun Huang
Sarah Monazam Erfani
Yige Li
Xingjun Ma
James Bailey
AAML
34
0
0
08 May 2025
Adversarial Prompt Distillation for Vision-Language Models
Adversarial Prompt Distillation for Vision-Language Models
Lin Luo
Xin Wang
Bojia Zi
Shihao Zhao
Xingjun Ma
Yu-Gang Jiang
AAML
VLM
76
1
0
22 Nov 2024
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in
  Vision-Language Models
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models
Xin Wang
Kai-xiang Chen
Jiaming Zhang
Jingjing Chen
Xingjun Ma
AAML
VPVLM
VLM
83
1
0
20 Nov 2024
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability
  Vision-Language Attack
Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack
Xiaojun Jia
Sensen Gao
Qing-Wu Guo
Ke Ma
Yihao Huang
Simeng Qin
Yang Janet Liu
Ivor Tsang Fellow
Xiaochun Cao
AAML
35
3
0
04 Nov 2024
Efficient Backdoor Defense in Multimodal Contrastive Learning: A
  Token-Level Unlearning Method for Mitigating Threats
Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats
Kuanrong Liu
Siyuan Liang
Jiawei Liang
Pengwen Dai
Xiaochun Cao
MU
AAML
22
1
0
29 Sep 2024
Towards Robust Object Detection: Identifying and Removing Backdoors via
  Module Inconsistency Analysis
Towards Robust Object Detection: Identifying and Removing Backdoors via Module Inconsistency Analysis
Xianda Zhang
Siyuan Liang
AAML
21
0
0
24 Sep 2024
Probing the Robustness of Vision-Language Pretrained Models: A
  Multimodal Adversarial Attack Approach
Probing the Robustness of Vision-Language Pretrained Models: A Multimodal Adversarial Attack Approach
Jiwei Guan
Tianyu Ding
Longbing Cao
Lei Pan
Chen Wang
Xi Zheng
AAML
23
0
0
24 Aug 2024
Compromising Embodied Agents with Contextual Backdoor Attacks
Compromising Embodied Agents with Contextual Backdoor Attacks
Aishan Liu
Yuguang Zhou
Xianglong Liu
Tianyuan Zhang
Siyuan Liang
...
Tianlin Li
Junqi Zhang
Wenbo Zhou
Qing-Wu Guo
Dacheng Tao
LLMAG
AAML
23
1
0
06 Aug 2024
The Synergy between Data and Multi-Modal Large Language Models: A Survey
  from Co-Development Perspective
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
Zhen Qin
Daoyuan Chen
Wenhao Zhang
Liuyi Yao
Yilun Huang
Bolin Ding
Yaliang Li
Shuiguang Deng
48
5
0
11 Jul 2024
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
Zonghao Ying
Aishan Liu
Tianyuan Zhang
Zhengmin Yu
Siyuan Liang
Xianglong Liu
Dacheng Tao
AAML
33
26
0
06 Jun 2024
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental
  Illusions
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
Tianyuan Zhang
Lu Wang
Hainan Li
Yisong Xiao
Siyuan Liang
Aishan Liu
Xianglong Liu
Dacheng Tao
35
10
0
03 Jun 2024
Typography Leads Semantic Diversifying: Amplifying Adversarial
  Transferability across Multimodal Large Language Models
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models
Hao-Ran Cheng
Erjia Xiao
Jiahang Cao
Le Yang
Kaidi Xu
Jindong Gu
Renjing Xu
AAML
50
7
0
30 May 2024
Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in
  Multimodal Large Language Model Security
Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security
Yihe Fan
Yuxin Cao
Ziyu Zhao
Ziyao Liu
Shaofeng Li
27
11
0
08 Apr 2024
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal
  Contrastive Learning via Local Token Unlearning
Unlearning Backdoor Threats: Enhancing Backdoor Defense in Multimodal Contrastive Learning via Local Token Unlearning
Siyuan Liang
Kuanrong Liu
Jiajun Gong
Jiawei Liang
Yuan Xun
Ee-Chien Chang
Xiaochun Cao
AAML
MU
21
12
0
24 Mar 2024
Boosting Transferability in Vision-Language Attacks via Diversification
  along the Intersection Region of Adversarial Trajectory
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
Sensen Gao
Xiaojun Jia
Xuhong Ren
Ivor Tsang
Qing-Wu Guo
AAML
31
13
0
19 Mar 2024
Effectiveness Assessment of Recent Large Vision-Language Models
Effectiveness Assessment of Recent Large Vision-Language Models
Yao Jiang
Xinyu Yan
Ge-Peng Ji
Keren Fu
Meijun Sun
Huan Xiong
Deng-Ping Fan
Fahad Shahbaz Khan
24
14
0
07 Mar 2024
Vision-Language Models for Medical Report Generation and Visual Question
  Answering: A Review
Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review
Iryna Hartsock
Ghulam Rasool
38
60
0
04 Mar 2024
Partially Recentralization Softmax Loss for Vision-Language Models
  Robustness
Partially Recentralization Softmax Loss for Vision-Language Models Robustness
Hao Wang
Xin Zhang
Jinzhe Jiang
Yaqian Zhao
Chen Li
AAML
11
0
0
06 Feb 2024
Pre-trained Adversarial Perturbations
Pre-trained Adversarial Perturbations
Y. Ban
Yinpeng Dong
AAML
54
21
0
07 Oct 2022
Revisiting Classifier: Transferring Vision-Language Models for Video
  Recognition
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition
Wenhao Wu
Zhun Sun
Wanli Ouyang
VLM
87
93
0
04 Jul 2022
VLP: A Survey on Vision-Language Pre-training
VLP: A Survey on Vision-Language Pre-training
Feilong Chen
Duzhen Zhang
Minglun Han
Xiuyi Chen
Jing Shi
Shuang Xu
Bo Xu
VLM
79
208
0
18 Feb 2022
Admix: Enhancing the Transferability of Adversarial Attacks
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
59
146
0
31 Jan 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
1