The 5th Workshop of Adversarial Machine Learning on Computer Vision: Foundation Models + X
Trustworthy Multi-UAV Collaboration: A Self-Supervised Framework for Explainable and Adversarially Robust Decision-Making- 
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[bibtex]@InProceedings{Chen_2025_CVPR, author = {Chen, Yuwei and Chu, Shiyong}, title = {Trustworthy Multi-UAV Collaboration: A Self-Supervised Framework for Explainable and Adversarially Robust Decision-Making}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3550-3561} }
 
Probing Vulnerabilities of Vision-LiDAR Based Autonomous Driving Systems- 
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[bibtex]@InProceedings{Yang_2025_CVPR, author = {Yang, Siwei and Wang, Zeyu and Ortiz, Diego and Burbano, Luis and Kantarcioglu, Murat and Cardenas, Alvaro and Xie, Cihang}, title = {Probing Vulnerabilities of Vision-LiDAR Based Autonomous Driving Systems}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3600-3608} }
 
Attacking Attention of Foundation Models Disrupts Downstream Tasks- 
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[bibtex]@InProceedings{Silva_2025_CVPR, author = {Silva, Hondamunige Prasanna and Becattini, Federico and Seidenari, Lorenzo}, title = {Attacking Attention of Foundation Models Disrupts Downstream Tasks}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3573-3582} }
 
Defending Against Frequency-Based Attacks with Diffusion Models- 
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[bibtex]@InProceedings{Amerehi_2025_CVPR, author = {Amerehi, Fatemeh and Healy, Patrick}, title = {Defending Against Frequency-Based Attacks with Diffusion Models}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3562-3572} }
 
Task-Agnostic Attacks Against Vision Foundation Models- 
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[bibtex]@InProceedings{Pulfer_2025_CVPR, author = {Pulfer, Brian and Belousov, Yury and Kinakh, Vitaliy and Furon, Teddy and Voloshynovskiy, Slava}, title = {Task-Agnostic Attacks Against Vision Foundation Models}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3609-3620} }
 
EL-Attack: Explicit and Latent Space Hybrid Optimization based General and Effective Attack for Autonomous Driving Trajectory Prediction- 
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[bibtex]@InProceedings{Bai_2025_CVPR, author = {Bai, Xuesong and Tian, Changhang and Xia, Wei and Ma, Zhenshu and Yu, Haiyang and Ren, Yilong}, title = {EL-Attack: Explicit and Latent Space Hybrid Optimization based General and Effective Attack for Autonomous Driving Trajectory Prediction}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3621-3629} }
 
Towards Evaluating the Robustness of Visual State Space Models- 
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[bibtex]@InProceedings{Malik_2025_CVPR, author = {Malik, Hashmat Shadab and Shamshad, Fahad and Naseer, Muzammal and Nandakumar, Karthik and Khan, Fahad Shahbaz and Khan, Salman}, title = {Towards Evaluating the Robustness of Visual State Space Models}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3583-3592} }
 
Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences- 
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[bibtex]@InProceedings{MohajerAnsari_2025_CVPR, author = {MohajerAnsari, Pedram and Salarpour, Amir and Fernandez, David and Kokenoz, Cigdem and Li, Bing and Pes\'e, Mert D.}, title = {Attention-Aware Temporal Adversarial Shadows on Traffic Sign Sequences}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3630-3638} }
 
FullCycle: Full Stage Adversarial Attack For Reinforcement Learning Robustness Evaluation- 
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[bibtex]@InProceedings{Ma_2025_CVPR, author = {Ma, Zhenshu and Cai, Xuan and Tian, Changhang and Fan, Yuqi and Jiang, Kemou and Liu, Gangfu and Bai, Xuesong and Li, Aoyong and Ren, Yilong and Yu, Haiyang}, title = {FullCycle: Full Stage Adversarial Attack For Reinforcement Learning Robustness Evaluation}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {3593-3599} }
 

