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Convolutional Neural Networks for Facial Attribute-based Active Authentication on Mobile Devices

, and . (2016)cite arxiv:1604.08865.

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Nonnegative Matrix Factorization by optimization on the Stiefel manifold with SVD initialization., , , and . Allerton, page 1068-1073. IEEE, (2016)Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth., , , , , , , , , and 1 other author(s). ICLR, OpenReview.net, (2020)Attribute-based continuous user authentication on mobile devices., , and . BTAS, page 1-8. IEEE, (2015)Convolutional Neural Networks for Attribute-based Active Authentication on Mobile Devices., and . CoRR, (2016)Convolutional Neural Networks for Facial Attribute-based Active Authentication on Mobile Devices, and . (2016)cite arxiv:1604.08865.ExplainGAN: Model Explanation via Decision Boundary Crossing Transformations., , , and . ECCV (10), volume 11214 of Lecture Notes in Computer Science, page 681-696. Springer, (2018)Machine Learning of Facial Attributes Using Explainable, Secure and Generative Adversarial Networks.. University of Maryland, College Park, MD, USA, (2018)base-search.net (ftunivmaryland:oai:drum.lib.umd.edu:1903/21362).Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models., , and . ICLR (Poster), OpenReview.net, (2018)Task-Aware Compressed Sensing With Generative Adversarial Networks., , and . AAAI, page 2297-2304. AAAI Press, (2018)Face-MagNet: Magnifying Feature Maps to Detect Small Faces., , , and . WACV, page 122-130. IEEE Computer Society, (2018)