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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,334 papers shown

Title
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations N. Cheney Martin Schrimpf Gabriel Kreiman OOD 80 45 0 23 Mar 2017
Quality Resilient Deep Neural Networks Samuel F. Dodge Lina Karam OOD 70 46 0 23 Mar 2017
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images Hossein Hosseini Baicen Xiao Mayoore S. Jaiswal Radha Poovendran 90 123 0 20 Mar 2017
TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network Ayushman Dash J. Gamboa Sheraz Ahmed Marcus Liwicki Muhammad Zeshan Afzal GAN 105 143 0 19 Mar 2017
Using Human Brain Activity to Guide Machine Learning Ruth C. Fong Walter J. Scheirer David D. Cox 3DH 70 96 0 16 Mar 2017
Sharp Minima Can Generalize For Deep Nets Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio ODL 147 774 0 15 Mar 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 234 2,916 0 14 Mar 2017
Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs Michael Gygli Mohammad Norouzi A. Angelova TDI 147 68 0 13 Mar 2017
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems Hossein Hosseini Yize Chen Sreeram Kannan Baosen Zhang Radha Poovendran AAML 90 107 0 13 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 862 12,002 0 09 Mar 2017
Dropout Inference in Bayesian Neural Networks with Alpha-divergences Yingzhen Li Y. Gal UQCV BDL 147 197 0 08 Mar 2017
Robust Adversarial Reinforcement Learning Lerrel Pinto James Davidson Rahul Sukthankar Abhinav Gupta OOD 148 863 0 08 Mar 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 141 418 0 08 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 181 461 0 06 Mar 2017
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 351 1,272 0 06 Mar 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 213 6,048 0 04 Mar 2017
Generative Poisoning Attack Method Against Neural Networks Chaofei Yang Qing Wu Hai Helen Li Yiran Chen AAML 76 219 0 03 Mar 2017
Adversarial Examples for Semantic Image Segmentation Volker Fischer Mummadi Chaithanya Kumar J. H. Metzen Thomas Brox SSeg GAN AAML 102 119 0 03 Mar 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 117 896 0 01 Mar 2017
Learning Discrete Representations via Information Maximizing Self-Augmented Training Weihua Hu Takeru Miyato Seiya Tokui Eiichi Matsumoto Masashi Sugiyama 126 454 0 28 Feb 2017
Deceiving Google's Perspective API Built for Detecting Toxic Comments Hossein Hosseini Sreeram Kannan Baosen Zhang Radha Poovendran AAML 90 328 0 27 Feb 2017
Generative Adversarial Active Learning Jia Jie Zhu José Bento GAN 104 185 0 25 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 155 1,416 0 24 Feb 2017
Robustness to Adversarial Examples through an Ensemble of Specialists Mahdieh Abbasi Christian Gagné AAML 117 109 0 22 Feb 2017
Adversarial examples for generative models Jernej Kos Ian S. Fischer Basel Alomair GAN 95 274 0 22 Feb 2017
DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples Ji Gao Beilun Wang Zeming Lin Weilin Xu Yanjun Qi AAML 101 90 0 22 Feb 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 94 715 0 21 Feb 2017
Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN Weiwei Hu Ying Tan GAN 95 465 0 20 Feb 2017
On Detecting Adversarial Perturbations J. H. Metzen Tim Genewein Volker Fischer Bastian Bischoff AAML 125 952 0 14 Feb 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 123 840 0 08 Feb 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 334 1,877 0 03 Feb 2017
Understanding trained CNNs by indexing neuron selectivity Ivet Rafegas M. Vanrell Luís A. Alexandre Guillem Arias FAtt 96 41 0 01 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 346 1,549 0 25 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 87 2,112 0 17 Jan 2017
Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning Rock Stevens H. Aggarwal Himani Arora Sanghyun Hong M. Hicks Chetan Arora SILM AAML 57 18 0 17 Jan 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks Vahid Behzadan Arslan Munir AAML SILM 109 278 0 16 Jan 2017
Comprehension-guided referring expressions Ruotian Luo Gregory Shakhnarovich ObjD 107 171 0 12 Jan 2017
Dense Associative Memory is Robust to Adversarial Inputs Dmitry Krotov J. Hopfield AAML 84 113 0 04 Jan 2017
NIPS 2016 Tutorial: Generative Adversarial Networks Ian Goodfellow GAN 190 1,728 0 31 Dec 2016
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics Xin Li Fuxin Li GAN AAML 145 366 0 22 Dec 2016
Simple Black-Box Adversarial Perturbations for Deep Networks Nina Narodytska S. Kasiviswanathan AAML 84 239 0 19 Dec 2016
Adversarial Deep Structural Networks for Mammographic Mass Segmentation Wentao Zhu Xiang Xiang Trac D. Tran Xiaohui Xie MedIm 84 67 0 18 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 925 5,858 0 05 Dec 2016
Learning Adversary-Resistant Deep Neural Networks Qinglong Wang Wenbo Guo Kaixuan Zhang Alexander Ororbia Masashi Sugiyama Xue Liu C. Lee Giles AAML 100 43 0 05 Dec 2016
Towards Robust Deep Neural Networks with BANG Andras Rozsa Manuel Günther Terrance E. Boult AAML OOD 98 76 0 01 Dec 2016
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 83 73 0 19 Nov 2016
LOTS about Attacking Deep Features Andras Rozsa Manuel Günther Terrance E. Boult AAML 107 42 0 18 Nov 2016
VisualBackProp: efficient visualization of CNNs Mariusz Bojarski A. Choromańska K. Choromanski Bernhard Firner L. Jackel Urs Muller Karol Zieba FAtt 88 74 0 16 Nov 2016
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification Shu Zhang Ran He Tieniu Tan CVBM 3DH 90 73 0 16 Nov 2016
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 99 474 0 11 Nov 2016