Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey

11 March 2023

Papers citing "Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey"

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Title
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 146 4,895 0 14 Nov 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 264 19,045 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 261 14,912 1 21 Dec 2013
Manifold estimation and singular deconvolution under Hausdorff loss Christopher R. Genovese M. Perone-Pacifico I. Verdinelli Larry A. Wasserman UQCV 65 101 0 21 Sep 2011