105 citations · 501 across the 65 of their papers we have counts for
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cs.LG2021★ 4 cited
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
Seffi Cohen, Niv Goldshlager, Lior Rokach +1
Anomaly detection is a well-known task that involves the identification of abnormal events that occur relatively infrequently. Methods for improving anomaly detection performance h…
cs.CV2021
Enhancing Real-World Adversarial Patches through 3D Modeling of Complex Target Scenes
Yael Mathov, Lior Rokach, Yuval Elovici
Adversarial examples have proven to be a concerning threat to deep learning models, particularly in the image domain. However, while many studies have examined adversarial examples…