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

8 December 2023

Yang Liu

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

50 / 74 papers shown

Title
Adversarial Prompt Distillation for Vision-Language Models Lin Luo Xin Wang Bojia Zi Shihao Zhao Xingjun Ma Yu-Gang Jiang AAML VLM 126 3 0 22 Nov 2024
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip Torr AAML 66 30 0 26 Oct 2023
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models Ziyi Yin Muchao Ye Tianrong Zhang Tianyu Du Jinguo Zhu Han Liu Jinghui Chen Ting Wang Fenglong Ma AAML VLM CoGe 73 42 0 07 Oct 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 43 66 0 26 Sep 2023
AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning Ziqi Zhou Shengshan Hu Minghui Li Hangtao Zhang Yechao Zhang Hai Jin AAML 97 72 0 14 Aug 2023
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models Dong Lu Zhiqiang Wang Teng Wang Weili Guan Hongchang Gao Feng Zheng AAML 89 72 0 26 Jul 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 52 8 0 14 Jun 2023
Prompt Injection attack against LLM-integrated Applications Yi Liu Gelei Deng Yuekang Li Kailong Wang Zihao Wang ... Tianwei Zhang Yepang Liu Haoyu Wang Yanhong Zheng Yang Liu SILM 108 355 0 08 Jun 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability Haotian Xue Alexandre Araujo Bin Hu Yongxin Chen DiffM 82 46 0 25 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 52 20 0 26 Apr 2023
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization Jianping Zhang Yizhan Huang Weibin Wu Michael R. Lyu AAML ViT 47 53 0 28 Mar 2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition Zexin Li Bangjie Yin Taiping Yao Junfeng Guo Shouhong Ding Simin Chen Cong Liu AAML 37 36 0 22 Mar 2023
Efficient Decision-based Black-box Patch Attacks on Video Recognition Kaixun Jiang Zhaoyu Chen Tony Huang Jiafeng Wang Dingkang Yang Yue Liu Yan Wang Wenqiang Zhang AAML 60 22 0 21 Mar 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 75 37 0 10 Feb 2023
Position-guided Text Prompt for Vision-Language Pre-training Alex Jinpeng Wang Pan Zhou Mike Zheng Shou Shuicheng Yan VLM 45 38 0 19 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 56 15 0 12 Dec 2022
Seeing What You Miss: Vision-Language Pre-training with Semantic Completion Learning Yatai Ji Rong-Cheng Tu Jie Jiang Weijie Kong Chengfei Cai Wenzhe Zhao Hongfa Wang Yujiu Yang Wei Liu VLM 41 14 0 24 Nov 2022
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection Hao Huang Ziyan Chen Huanran Chen Yongtao Wang Ke-Yue Zhang AAML 76 59 0 16 Nov 2022
Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition Shuai Jia Bangjie Yin Taiping Yao Shouhong Ding Chunhua Shen Xiaokang Yang Chao Ma AAML CVBM 65 49 0 13 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 53 84 0 12 Oct 2022
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-training Model Yatai Ji Junjie Wang Yuan Gong Lin Zhang Yan Zhu Hongfa Wang Jiaxing Zhang Tetsuya Sakai Yujiu Yang MLLM 45 32 0 11 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 44 59 0 09 Oct 2022
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 85 24 0 07 Oct 2022
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots Waiman Si Michael Backes Jeremy Blackburn Emiliano De Cristofaro Gianluca Stringhini Savvas Zannettou Yang Zhang 54 62 0 07 Sep 2022
Revisiting Classifier: Transferring Vision-Language Models for Video Recognition Wenhao Wu Zhun Sun Wanli Ouyang VLM 132 99 0 04 Jul 2022
Towards Adversarial Attack on Vision-Language Pre-training Models Jiaming Zhang Qiaomin Yi Jitao Sang VLM AAML 56 104 0 19 Jun 2022
Transferable Adversarial Attack based on Integrated Gradients Yunpeng Huang A. Kong AAML 66 52 0 26 May 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 78 135 0 31 Mar 2022
Investigating Top- $k$ White-Box and Transferable Black-box Attack Chaoning Zhang Philipp Benz Adil Karjauv Jae-Won Cho Kang Zhang In So Kweon 54 43 0 30 Mar 2022
StyleFool: Fooling Video Classification Systems via Style Transfer Yu Cao Xi Xiao Ruoxi Sun Derui Wang Minhui Xue Sheng Wen AAML 45 26 0 30 Mar 2022
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input Junyoung Byun Seungju Cho Myung-Joon Kwon Heeseon Kim Changick Kim AAML DiffM 57 70 0 17 Mar 2022
Vision-Language Pre-Training with Triple Contrastive Learning Jinyu Yang Jiali Duan Son N. Tran Yi Xu Sampath Chanda Liqun Chen Belinda Zeng Trishul Chilimbi Junzhou Huang VLM 103 295 0 21 Feb 2022
VLP: A Survey on Vision-Language Pre-training Feilong Chen Duzhen Zhang Minglun Han Xiuyi Chen Jing Shi Shuang Xu Bo Xu VLM 134 223 0 18 Feb 2022
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks Salijona Dyrmishi Salah Ghamizi Thibault Simonetto Yves Le Traon Maxime Cordy AAML 54 18 0 07 Feb 2022
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently Futa Waseda Sosuke Nishikawa Trung-Nghia Le H. Nguyen Isao Echizen SILM 55 37 0 29 Dec 2021
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting Junhua Zou Zhisong Pan Junyang Qiu Xin Liu Ting Rui Wei Li 58 69 0 11 Dec 2021
Learning to Learn Transferable Attack Shuman Fang Jie Li Xianming Lin Rongrong Ji AAML 65 21 0 10 Dec 2021
VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts Hangbo Bao Wenhui Wang Li Dong Qiang Liu Owais Khan Mohammed Kriti Aggarwal Subhojit Som Furu Wei VLM MLLM MoE 69 553 0 03 Nov 2021
Towards Transferable Adversarial Attacks on Vision Transformers Zhipeng Wei Jingjing Chen Micah Goldblum Zuxuan Wu Tom Goldstein Yu-Gang Jiang ViT AAML 79 119 0 09 Sep 2021
"Adversarial Examples" for Proof-of-Learning Rui Zhang Jian Liu Yuan Ding Zhibo Wu Qing Wu K. Ren AAML 55 35 0 21 Aug 2021
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li Ramprasaath R. Selvaraju Akhilesh Deepak Gotmare Shafiq Joty Caiming Xiong Guosheng Lin FaML 186 1,953 0 16 Jul 2021
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models Zihao Xiao Xianfeng Gao Chilin Fu Yinpeng Dong Wei-zhe Gao Xiaolu Zhang Jun Zhou Jun Zhu AAML CVBM 65 109 0 29 Jun 2021
On Improving Adversarial Transferability of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Fahad Shahbaz Khan Fatih Porikli ViT 73 95 0 08 Jun 2021
Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition Bangjie Yin Wenxuan Wang Taiping Yao Junfeng Guo Zelun Kong Shouhong Ding Jilin Li Cong Liu AAML 112 131 0 07 May 2021
Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation Learning Zhicheng Huang Zhaoyang Zeng Yupan Huang Bei Liu Dongmei Fu Jianlong Fu VLM ViT 142 272 0 07 Apr 2021
On the Robustness of Vision Transformers to Adversarial Examples Kaleel Mahmood Rigel Mahmood Marten van Dijk ViT 111 224 0 31 Mar 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang Kun He AAML 87 392 0 29 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 64 289 0 18 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 909 29,372 0 26 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 115 201 0 31 Jan 2021