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cs.CV2022★ 1 cited
Unfolding Local Growth Rate Estimates for (Almost) Perfect Adversarial Detection
Peter Lorenz, Margret Keuper, Janis Keuper
Convolutional neural networks (CNN) define the state-of-the-art solution on many perceptual tasks. However, current CNN approaches largely remain vulnerable against adversarial per…
cs.CV2022
Visual Prompting for Adversarial Robustness
Aochuan Chen, Peter Lorenz, Yuguang Yao +2
In this work, we leverage visual prompting (VP) to improve adversarial robustness of a fixed, pre-trained model at testing time. Compared to conventional adversarial defenses, VP a…