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Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers.

, , , и . CoRR, (2020)

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Vittalapura Jayaram

Jayaram Dadda

Bangalore Narayanamurti Jayaram

 

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Semisupervised domain adaptation for mixture model based classifiers., , и . CISS, стр. 1-6. IEEE, (2012)Generation bidding game with potentially false attestation of flexible demand., , , , , , и . EURASIP J. Adv. Signal Process., (2015)Detecting Anomalous Inputs to DNN Classifiers By Joint Statistical Testing at the Layers., , , и . CoRR, (2020)Stratified Adversarial Robustness with Rejection., , , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 4867-4894. PMLR, (2023)Few-Shot Domain Adaptation For End-to-End Communication., , , , , , и . ICLR, OpenReview.net, (2023)The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning., , , , , , и . ICLR, OpenReview.net, (2023)Improved Generative Semisupervised Learning Based on Finely Grained Component-Conditional Class Labeling., , , и . Neural Comput., 24 (7): 1926-1966 (2012)A General Framework For Detecting Anomalous Inputs to DNN Classifiers., , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8764-8775. PMLR, (2021)A Bidding Game for Generators in the Presence of Flexible Demand., , , , , , и . Feedback Computing, USENIX Association, (2014)Salting Public Traces with Attack Traffic to Test Flow Classifiers., , , и . CSET, USENIX Association, (2011)