Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Evaluating the visualization of what a Deep Neural Network has learned Wojciech Samek Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller XAI 74 1,180 0 21 Sep 2015
What is Holding Back Convnets for Detection? Bojan Pepik Rodrigo Benenson Tobias Ritschel Bernt Schiele ObjD 24 64 0 12 Aug 2015
Deep Learning and Music Adversaries Corey Kereliuk Bob L. T. Sturm J. Larsen AAML 24 136 0 16 Jul 2015
Dropout as data augmentation Xavier Bouthillier K. Konda Pascal Vincent Roland Memisevic 43 133 0 29 Jun 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 69 1,864 0 22 Jun 2015
Lateral Connections in Denoising Autoencoders Support Supervised Learning Antti Rasmus Harri Valpola T. Raiko 38 22 0 30 Apr 2015
Analysis of classifiers' robustness to adversarial perturbations Alhussein Fawzi Omar Fawzi P. Frossard AAML 46 361 0 09 Feb 2015
Visual Causal Feature Learning Krzysztof Chalupka Pietro Perona F. Eberhardt CML OOD 28 139 0 07 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 90 3,248 0 05 Dec 2014
Qualitative Robustness in Bayesian Inference H. Owhadi C. Scovel 56 26 0 14 Nov 2014