CVPR 2024 Open Access Repository

The 4th Workshop of Adversarial Machine Learning on Computer Vision: Robustness of Foundation Models

Attack End-to-End Autonomous Driving through Module-Wise Noise: Lu Wang,

Tianyuan Zhang,

Yikai Han,

Muyang Fang,

Ting Jin,

Jiaqi Kang; [pdf]
[bibtex]
@InProceedings{Wang_2024_CVPR, author = {Wang, Lu and Zhang, Tianyuan and Han, Yikai and Fang, Muyang and Jin, Ting and Kang, Jiaqi}, title = {Attack End-to-End Autonomous Driving through Module-Wise Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {8349-8352} }
Learning to Schedule Resistant to Adversarial Attacks in Diffusion Probabilistic Models Under the Threat of Lipschitz Singularities: Sanghwa Hong; [pdf]
[bibtex]
@InProceedings{Hong_2024_CVPR, author = {Hong, Sanghwa}, title = {Learning to Schedule Resistant to Adversarial Attacks in Diffusion Probabilistic Models Under the Threat of Lipschitz Singularities}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2957-2966} }
ResampleTrack: Online Resampling for Adversarially Robust Visual Tracking: Xuhong Ren,

Jianlang Chen,

Yue Cao,

Wanli Xue,

Qing Guo,

Lei Ma,

Jianjun Zhao,

Shenyong Chen; [pdf]
[bibtex]
@InProceedings{Ren_2024_CVPR, author = {Ren, Xuhong and Chen, Jianlang and Cao, Yue and Xue, Wanli and Guo, Qing and Ma, Lei and Zhao, Jianjun and Chen, Shenyong}, title = {ResampleTrack: Online Resampling for Adversarially Robust Visual Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {8359-8363} }
Scaling Vision-Language Models Does Not Improve Relational Understanding: The Right Learning Objective Helps: Haider Al-Tahan,

Quentin Garrido,

Randall Balestriero,

Diane Bouchacourt,

Caner Hazirbas,

Mark Ibrahim; [pdf] [supp]
[bibtex]
@InProceedings{Al-Tahan_2024_CVPR, author = {Al-Tahan, Haider and Garrido, Quentin and Balestriero, Randall and Bouchacourt, Diane and Hazirbas, Caner and Ibrahim, Mark}, title = {Scaling Vision-Language Models Does Not Improve Relational Understanding: The Right Learning Objective Helps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {8353-8358} }
Enhancing the Transferability of Adversarial Attacks with Stealth Preservation: Xinwei Zhang,

Tianyuan Zhang,

Yitong Zhang,

Shuangcheng Liu; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2024_CVPR, author = {Zhang, Xinwei and Zhang, Tianyuan and Zhang, Yitong and Liu, Shuangcheng}, title = {Enhancing the Transferability of Adversarial Attacks with Stealth Preservation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2915-2925} }
Multimodal Attack Detection for Action Recognition Models: Furkan Mumcu,

Yasin Yilmaz; [pdf] [arXiv]
[bibtex]
@InProceedings{Mumcu_2024_CVPR, author = {Mumcu, Furkan and Yilmaz, Yasin}, title = {Multimodal Attack Detection for Action Recognition Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2967-2976} }
Red-Teaming Segment Anything Model: Krzysztof Jankowski,

Bartlomiej Sobieski,

Mateusz Kwiatkowski,

Jakub Szulc,

Michał Janik,

Hubert Baniecki,

Przemysław Biecek; [pdf] [arXiv]
[bibtex]
@InProceedings{Jankowski_2024_CVPR, author = {Jankowski, Krzysztof and Sobieski, Bartlomiej and Kwiatkowski, Mateusz and Szulc, Jakub and Janik, Micha{\l} and Baniecki, Hubert and Biecek, Przemys{\l}aw}, title = {Red-Teaming Segment Anything Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2947-2956} }
Enhancing Targeted Attack Transferability via Diversified Weight Pruning: Hung-Jui Wang,

Yu-Yu Wu,

Shang-Tse Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2024_CVPR, author = {Wang, Hung-Jui and Wu, Yu-Yu and Chen, Shang-Tse}, title = {Enhancing Targeted Attack Transferability via Diversified Weight Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2904-2914} }
Benchmarking Robustness in Neural Radiance Fields: Chen Wang,

Angtian Wang,

Junbo Li,

Alan Yuille,

Cihang Xie; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2024_CVPR, author = {Wang, Chen and Wang, Angtian and Li, Junbo and Yuille, Alan and Xie, Cihang}, title = {Benchmarking Robustness in Neural Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2926-2936} }
Sharpness-Aware Optimization for Real-World Adversarial Attacks for Diverse Compute Platforms with Enhanced Transferability: Muchao Ye,

Xiang Xu,

Qin Zhang,

Jonathan Wu; [pdf]
[bibtex]
@InProceedings{Ye_2024_CVPR, author = {Ye, Muchao and Xu, Xiang and Zhang, Qin and Wu, Jonathan}, title = {Sharpness-Aware Optimization for Real-World Adversarial Attacks for Diverse Compute Platforms with Enhanced Transferability}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2937-2946} }
Large Language Models in Wargaming: Methodology Application and Robustness: Yuwei Chen,

Shiyong Chu; [pdf]
[bibtex]
@InProceedings{Chen_2024_CVPR, author = {Chen, Yuwei and Chu, Shiyong}, title = {Large Language Models in Wargaming: Methodology Application and Robustness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2894-2903} }