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cs.CV2024
Imperceptible Adversarial Examples in the Physical World
Weilin Xu, Sebastian Szyller, Cory Cornelius +5
Adversarial examples in the digital domain against deep learning-based computer vision models allow for perturbations that are imperceptible to human eyes. However, producing simil…
cs.CV2024
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
Kevin Stangl, Marius Arvinte, Weilin Xu +1
Zero-shot anomaly segmentation using pre-trained foundation models is a promising approach that enables effective algorithms without expensive, domain-specific training or fine-tun…