CVPR 2023 Open Access Repository

The 3rd Workshop of Adversarial Machine Learning on Computer Vision: Art of Robustness

An Extended Study of Human-Like Behavior Under Adversarial Training: Paul Gavrikov,

Janis Keuper,

Margret Keuper; [pdf] [arXiv]
[bibtex]
@InProceedings{Gavrikov_2023_CVPR, author = {Gavrikov, Paul and Keuper, Janis and Keuper, Margret}, title = {An Extended Study of Human-Like Behavior Under Adversarial Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2361-2368} }
Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection: Jianbo Chen,

Xinwei Liu,

Siyuan Liang,

Xiaojun Jia,

Yuan Xun; [pdf]
[bibtex]
@InProceedings{Chen_2023_CVPR, author = {Chen, Jianbo and Liu, Xinwei and Liang, Siyuan and Jia, Xiaojun and Xun, Yuan}, title = {Universal Watermark Vaccine: Universal Adversarial Perturbations for Watermark Protection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2322-2329} }
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs: Hasan Abed Al Kader Hammoud,

Adel Bibi,

Philip H.S. Torr,

Bernard Ghanem; [pdf] [supp]
[bibtex]
@InProceedings{Al_Kader_Hammoud_2023_CVPR, author = {Al Kader Hammoud, Hasan Abed and Bibi, Adel and Torr, Philip H.S. and Ghanem, Bernard}, title = {Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2338-2345} }
Certified Adversarial Robustness Within Multiple Perturbation Bounds: Soumalya Nandi,

Sravanti Addepalli,

Harsh Rangwani,

R. Venkatesh Babu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nandi_2023_CVPR, author = {Nandi, Soumalya and Addepalli, Sravanti and Rangwani, Harsh and Babu, R. Venkatesh}, title = {Certified Adversarial Robustness Within Multiple Perturbation Bounds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2298-2305} }
Robustness With Query-Efficient Adversarial Attack Using Reinforcement Learning: Soumyendu Sarkar,

Ashwin Ramesh Babu,

Sajad Mousavi,

Sahand Ghorbanpour,

Vineet Gundecha,

Antonio Guillen,

Ricardo Luna,

Avisek Naug; [pdf]
[bibtex]
@InProceedings{Sarkar_2023_CVPR, author = {Sarkar, Soumyendu and Babu, Ashwin Ramesh and Mousavi, Sajad and Ghorbanpour, Sahand and Gundecha, Vineet and Guillen, Antonio and Luna, Ricardo and Naug, Avisek}, title = {Robustness With Query-Efficient Adversarial Attack Using Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2330-2337} }
Generating Adversarial Samples in Mini-Batches May Be Detrimental to Adversarial Robustness: Timothy Redgrave,

Colton Crum; [pdf] [arXiv]
[bibtex]
@InProceedings{Redgrave_2023_CVPR, author = {Redgrave, Timothy and Crum, Colton}, title = {Generating Adversarial Samples in Mini-Batches May Be Detrimental to Adversarial Robustness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2378-2384} }
Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion: Zixiang Zhao,

Jiangshe Zhang,

Haowen Bai,

Yicheng Wang,

Yukun Cui,

Lilun Deng,

Kai Sun,

Chunxia Zhang,

Junmin Liu,

Shuang Xu; [pdf]
[bibtex]
@InProceedings{Zhao_2023_CVPR, author = {Zhao, Zixiang and Zhang, Jiangshe and Bai, Haowen and Wang, Yicheng and Cui, Yukun and Deng, Lilun and Sun, Kai and Zhang, Chunxia and Liu, Junmin and Xu, Shuang}, title = {Deep Convolutional Sparse Coding Networks for Interpretable Image Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2369-2377} }
Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity: Ren Wang,

Yuxuan Li,

Sijia Liu; [pdf]
[bibtex]
@InProceedings{Wang_2023_CVPR, author = {Wang, Ren and Li, Yuxuan and Liu, Sijia}, title = {Exploring Diversified Adversarial Robustness in Neural Networks via Robust Mode Connectivity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2346-2352} }
Implications of Solution Patterns on Adversarial Robustness: Hengyue Liang,

Buyun Liang,

Ju Sun,

Ying Cui,

Tim Mitchell; [pdf]
[bibtex]
@InProceedings{Liang_2023_CVPR, author = {Liang, Hengyue and Liang, Buyun and Sun, Ju and Cui, Ying and Mitchell, Tim}, title = {Implications of Solution Patterns on Adversarial Robustness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2393-2400} }
Adversarial Defense in Aerial Detection: Yuwei Chen,

Shiyong Chu; [pdf]
[bibtex]
@InProceedings{Chen_2023_CVPR, author = {Chen, Yuwei and Chu, Shiyong}, title = {Adversarial Defense in Aerial Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2306-2313} }
How Many Dimensions Are Required To Find an Adversarial Example?: Charles Godfrey,

Henry Kvinge,

Elise Bishoff,

Myles Mckay,

Davis Brown,

Tim Doster,

Eleanor Byler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Godfrey_2023_CVPR, author = {Godfrey, Charles and Kvinge, Henry and Bishoff, Elise and Mckay, Myles and Brown, Davis and Doster, Tim and Byler, Eleanor}, title = {How Many Dimensions Are Required To Find an Adversarial Example?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2353-2360} }
Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-Fitting Perspective: Zhengbao He,

Tao Li,

Sizhe Chen,

Xiaolin Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{He_2023_CVPR, author = {He, Zhengbao and Li, Tao and Chen, Sizhe and Huang, Xiaolin}, title = {Investigating Catastrophic Overfitting in Fast Adversarial Training: A Self-Fitting Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2314-2321} }
A Pilot Study of Query-Free Adversarial Attack Against Stable Diffusion: Haomin Zhuang,

Yihua Zhang,

Sijia Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhuang_2023_CVPR, author = {Zhuang, Haomin and Zhang, Yihua and Liu, Sijia}, title = {A Pilot Study of Query-Free Adversarial Attack Against Stable Diffusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {2385-2392} }