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2026-01-18 14:47:36
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ECCV 2022 Workshop on Adversarial Robustness in the Real World Overview Recent deep-learning-based methods achieve great performance on various vision applications. However, insufficient robustness on adversarial cases limits real-world applications of deep-learning-based methods. AROW workshop aims to explore adversarial examples, as well as, evaluate and improve the adversarial robustness of computer vision systems. This AROW workshop will be fully virtual . Topics of AROW workshop include but are not limited to: Improving model robustness against unrestricted adversarial attacks Improving generalization to out-of-distribution samples or unforeseen adversaries Discovery of real-world adversarial examples Novel architectures with robustness to occlusion, viewpoint, and other real-world domain shifts Domain adaptation techniques for robust vision in the real world Datasets for evaluating model robustness Structured deep models ...
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