AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning

ACM Multimedia (ACM MM), 2023

14 August 2023

Papers citing "AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning"

29 / 29 papers shown

Title
From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge H. Lu Yi Yu Song Xia Yiming Yang Deepu Rajan Boon Poh Ng Alex Chichung Kot Xudong Jiang AAML 72 0 0 10 Nov 2025
ToxicTextCLIP: Text-Based Poisoning and Backdoor Attacks on CLIP Pre-training Xin Yao Haiyang Zhao Yimin Chen Jiawei Guo Kecheng Huang Ming Zhao CLIP SILM VLM 140 0 0 01 Nov 2025
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2 Ziqi Zhou Yifan Hu Yufei Song Zijing Li Shengshan Hu Leo Yu Zhang Dezhong Yao Long Zheng Hai Jin AAML 48 4 0 28 Oct 2025
SegTrans: Transferable Adversarial Examples for Segmentation Models Yufei Song Ziqi Zhou Qi Lu Hangtao Zhang Yifan Hu Lulu Xue Shengshan Hu Minghui Li Leo Yu Zhang 84 4 0 10 Oct 2025
DarkHash: A Data-Free Backdoor Attack Against Deep HashingIEEE Transactions on Information Forensics and Security (TIFS), 2025 Ziqi Zhou Menghao Deng Yufei Song Hangtao Zhang Wei Wan Shengshan Hu Minghui Li Leo Yu Zhang Dezhong Yao 148 4 0 09 Oct 2025
Vision Transformers: the threat of realistic adversarial patches Kasper Cools Clara Maathuis Alexander M. van Oers Claudia S. Hübner Nikos Deligiannis Marijke Vandewal Geert De Cubber AAML 96 0 0 25 Sep 2025
ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents Yichen Wang Hangtao Zhang Hewen Pan Ziqi Zhou Xianlong Wang Peijin Guo Lulu Xue Shengshan Hu Minghui Li Leo Yu Zhang AAML 84 1 0 20 Sep 2025
Model Science: getting serious about verification, explanation and control of AI systems Przemyslaw Biecek Wojciech Samek 68 0 0 27 Aug 2025
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification Lulu Xue Shengshan Hu Wei Lu Yan Shen Dongxu Li Peijin Guo Ziqi Zhou Minghui Li Yanjun Zhang Leo Yu Zhang MU AAML 254 0 0 18 Jun 2025
Lorica: A Synergistic Fine-Tuning Framework for Advancing Personalized Adversarial Robustness Tianyu Qi Lei Xue Yufeng Zhan Xiaobo Ma AAML 248 0 0 04 Jun 2025
Few-Shot Adversarial Low-Rank Fine-Tuning of Vision-Language Models Sajjad Ghiasvand Haniyeh Ehsani Oskouie Mahnoosh Alizadeh Ramtin Pedarsani AAML VLM 199 7 0 21 May 2025
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP Hanxun Huang Sarah Monazam Erfani Yige Li Jiabo He James Bailey AAML 351 6 0 08 May 2025
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection Liqin Wang Qianyue Hu Wei Lu Xiangyang Luo DiffM AAML PICV 253 2 0 30 Apr 2025
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin OptimizationAAAI Conference on Artificial Intelligence (AAAI), 2025 Yujiao Shi Yingzhe Xu Junyu Shi L. Zhang Shengshan Hu Minghui Li Yanjun Zhang AAML 284 4 0 17 Mar 2025
Distraction is All You Need for Multimodal Large Language Model JailbreakingComputer Vision and Pattern Recognition (CVPR), 2025 Zuopeng Yang Jiluan Fan Anli Yan Erdun Gao Xin Lin Tao Li Kanghua mo Changyu Dong AAML 462 12 0 15 Feb 2025
Topological Signatures of Adversaries in Multimodal Alignments Minh Vu Geigh Zollicoffer Huy Mai B. Nebgen Boian S. Alexandrov Manish Bhattarai AAML 221 2 0 29 Jan 2025
NumbOD: A Spatial-Frequency Fusion Attack Against Object DetectorsAAAI Conference on Artificial Intelligence (AAAI), 2024 Ziqi Zhou Bowen Li Yufei Song Zhifei Yu Shengshan Hu Wei Wan L. Zhang Dezhong Yao Hai Jin AAML 276 11 0 22 Dec 2024
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation Yufei Song Ziqi Zhou Minghui Li Xiaobei Wang Hangtao Zhang Menghao Deng Wei Wan Shengshan Hu L. Zhang AAML 464 11 0 21 Dec 2024
Transferable Adversarial Attacks on SAM and Its Downstream ModelsNeural Information Processing Systems (NeurIPS), 2024 Song Xia Wenhan Yang Yi Yu Xun Lin Henghui Ding Lingyu Duan Xudong Jiang AAML SILM 313 11 0 26 Oct 2024
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers Weijie Zheng Jiabo He Hanxun Huang Zuxuan Wu Yu-Gang Jiang AAML 199 0 0 03 Aug 2024
JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models Haibo Jin Leyang Hu Xinuo Li Peiyan Zhang Chonghan Chen Jun Zhuang Haohan Wang PILM 296 54 0 26 Jun 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models Fengfan Zhou Qianyu Zhou Hefei Ling Xuequan Lu AAML 299 3 0 27 May 2024
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples Ziqi Zhou Minghui Li Wei Liu Shengshan Hu Yechao Zhang Wei Wan Lulu Xue Leo Yu Zhang Dezhong Yao Hai Jin SILM AAML 244 17 0 16 Mar 2024
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model Huan Ma Yan Zhu Changqing Zhang Peilin Zhao Baoyuan Wu Long-Kai Huang Qinghua Hu Bing Wu VLM 374 3 0 01 Mar 2024
MVPatch: More Vivid Patch for Adversarial Camouflaged Attacks on Object Detectors in the Physical World Zheng Zhou Hong Zhao Ju Liu Qiaosheng Zhang Liwei Geng Shuchang Lyu W. Feng AAML 249 4 0 29 Dec 2023
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Yang Liu Yaning Tan Tianrui Lou Yang Liu Simeng Qin AAML VLM 217 32 0 08 Dec 2023
Adversarial Prompt Tuning for Vision-Language Models Jiaming Zhang Jiabo He Xin Wang Lingyu Qiu Yuan Liu Yu-Gang Jiang Jitao Sang AAML VPVLM VLM 218 29 0 19 Nov 2023
Why Does Little Robustness Help? Understanding and Improving Adversarial Transferability from Surrogate TrainingIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Yechao Zhang Shengshan Hu Leo Yu Zhang Junyu Shi Minghui Li Xiaogeng Liu Wei Wan Hai Jin AAML 262 30 0 15 Jul 2023
Iterative Adversarial Attack on Image-guided Story Ending GenerationIEEE transactions on multimedia (IEEE TMM), 2023 Youze Wang Wenbo Hu Richang Hong 185 7 0 16 May 2023

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