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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

34 / 8,334 papers shown

Title
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 100 3,690 0 08 Feb 2016
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms Tom Zahavy Bingyi Kang Alex Sivak Jiashi Feng Huan Xu Shie Mannor OOD AAML 101 12 0 07 Feb 2016
Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization Alexander Ororbia C. Lee Giles Daniel Kifer OOD 81 24 0 26 Jan 2016
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 69 216 0 25 Jan 2016
Convergent Learning: Do different neural networks learn the same representations? Yixuan Li J. Yosinski Jeff Clune Hod Lipson John E. Hopcroft SSL 146 372 0 24 Nov 2015
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 165 3,972 0 24 Nov 2015
Deep Manifold Traversal: Changing Labels with Convolutional Features Jacob R. Gardner P. Upchurch Matt J. Kusner Yixuan Li Kilian Q. Weinberger Kavita Bala John E. Hopcroft 90 67 0 19 Nov 2015
QBDC: Query by dropout committee for training deep supervised architecture Mélanie Ducoffe F. Precioso OOD MU 46 19 0 19 Nov 2015
A Unified Gradient Regularization Family for Adversarial Examples Chunchuan Lyu Kaizhu Huang Hai-Ning Liang AAML 83 209 0 19 Nov 2015
Structured Prediction Energy Networks David Belanger Andrew McCallum GNN 123 219 0 19 Nov 2015
Robust Convolutional Neural Networks under Adversarial Noise Jonghoon Jin Aysegül Dündar Eugenio Culurciello 79 77 0 19 Nov 2015
Foveation-based Mechanisms Alleviate Adversarial Examples Yan Luo Xavier Boix Gemma Roig T. Poggio Qi Zhao AAML 94 170 0 19 Nov 2015
Towards Open Set Deep Networks Abhijit Bendale Terrance Boult BDL EDL 133 1,439 0 19 Nov 2015
Adversarial Manipulation of Deep Representations S. Sabour Yanshuai Cao Fartash Faghri David J. Fleet GAN AAML 141 287 0 16 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 231 4,912 0 14 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 124 3,080 0 14 Nov 2015
Learning with a Strong Adversary Ruitong Huang Bing Xu Dale Schuurmans Csaba Szepesvári AAML 105 358 0 10 Nov 2015
Exploring the Space of Adversarial Images Pedro Tabacof Eduardo Valle AAML 98 192 0 19 Oct 2015
Improving Back-Propagation by Adding an Adversarial Gradient Arild Nøkland AAML 83 32 0 14 Oct 2015
Evasion and Hardening of Tree Ensemble Classifiers Alex Kantchelian J. D. Tygar A. Joseph AAML 148 205 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 145 1,205 0 21 Sep 2015
What is Holding Back Convnets for Detection? Bojan Pepik Rodrigo Benenson Tobias Ritschel Bernt Schiele ObjD 95 65 0 12 Aug 2015
Deep Learning and Music Adversaries Corey Kereliuk Bob L. T. Sturm J. Larsen AAML 83 137 0 16 Jul 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 113 1,373 0 09 Jul 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 125 458 0 02 Jul 2015
Dropout as data augmentation Xavier Bouthillier K. Konda Pascal Vincent Roland Memisevic 137 134 0 29 Jun 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 136 1,875 0 22 Jun 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 157 2,348 0 10 Jun 2015
Lateral Connections in Denoising Autoencoders Support Supervised Learning Antti Rasmus Harri Valpola T. Raiko 84 22 0 30 Apr 2015
Analysis of classifiers' robustness to adversarial perturbations Alhussein Fawzi Omar Fawzi P. Frossard AAML 107 360 0 09 Feb 2015
Qualitatively characterizing neural network optimization problems Ian Goodfellow Oriol Vinyals Andrew M. Saxe ODL 141 524 0 19 Dec 2014
Visual Causal Feature Learning Krzysztof Chalupka Pietro Perona F. Eberhardt CML OOD 103 141 0 07 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images Anh Totti Nguyen J. Yosinski Jeff Clune AAML 192 3,276 0 05 Dec 2014
Qualitative Robustness in Bayesian Inference H. Owhadi C. Scovel 141 26 0 14 Nov 2014