Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas Ravi Kiran Sarvadevabhatla Konda Reddy Mopuri N. Prabhu S. Kruthiventi R. Venkatesh Babu OOD 35 215 0 25 Jan 2016
Deep Manifold Traversal: Changing Labels with Convolutional Features Jacob R. Gardner P. Upchurch Matt J. Kusner Yixuan Li Kilian Q. Weinberger Kavita Bala J. Hopcroft 34 65 0 19 Nov 2015
A Unified Gradient Regularization Family for Adversarial Examples Chunchuan Lyu Kaizhu Huang Hai-Ning Liang AAML 19 207 0 19 Nov 2015
Structured Prediction Energy Networks David Belanger Andrew McCallum GNN 18 219 0 19 Nov 2015
Foveation-based Mechanisms Alleviate Adversarial Examples Yan Luo Xavier Boix Gemma Roig T. Poggio Qi Zhao AAML 29 170 0 19 Nov 2015
Adversarial Manipulation of Deep Representations S. Sabour Yanshuai Cao Fartash Faghri David J. Fleet GAN AAML 35 286 0 16 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 72 4,855 0 14 Nov 2015
Exploring the Space of Adversarial Images Pedro Tabacof Eduardo Valle AAML 28 191 0 19 Oct 2015
Improving Back-Propagation by Adding an Adversarial Gradient Arild Nøkland AAML 32 32 0 14 Oct 2015
Evasion and Hardening of Tree Ensemble Classifiers Alex Kantchelian J. D. Tygar A. Joseph AAML 25 206 0 25 Sep 2015
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 69 3,248 0 05 Dec 2014
Qualitative Robustness in Bayesian Inference H. Owhadi C. Scovel 56 26 0 14 Nov 2014