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title
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2026-02-24 06:30:21
raw text
Home | The Art of Robustness Home Dates Speakers Call Organizers Schedule Challenge Sponsors The Art of Robustness: Devil and Angel in Adversarial Machine Learning Workshop at IEEE Conference on Computer Vision and Pattern Recognition 2022 Overview Deep learning has achieved significant success in multiple fields, including computer vision. However, studies in adversarial machine learning also indicate that deep learning models are highly vulnerable to adversarial examples. Extensive works have demonstrated that adversarial examples are serving as a devil for the robustness of deep neural networks, which threatens the deep learning based applications in both the digital and physical world. Though harmful, adversarial attacks can be also shown as an angel for deep learning models. Discovering and harnessing adversarial examples properly could be highly beneficial across several domains including improving model robustness, diagnosing model blind spots, protec...
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9 - cvpr2022.thecvf.com, personal.ntu.edu.sg, nicholas.carlini.com, nlsde.buaa.edu.cn, robots.ox.ac.uk, journals.elsevier.com, aisafety.sensetime.com, scholar.google.com.hk
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