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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 174 1,832 0 16 Jun 2017
Self-ensembling for visual domain adaptation Geoffrey French Michal Mackiewicz M. Fisher 103 44 0 16 Jun 2017
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong Warren He James Wei Xinyun Chen Nicholas Carlini Basel Alomair AAML 117 242 0 15 Jun 2017
Automated Poisoning Attacks and Defenses in Malware Detection Systems: An Adversarial Machine Learning Approach Sen Chen Minhui Xue Lingling Fan S. Hao Lihua Xu Haojin Zhu Yue Liu AAML 87 221 0 13 Jun 2017
Analyzing the Robustness of Nearest Neighbors to Adversarial Examples Yizhen Wang S. Jha Kamalika Chaudhuri AAML 234 155 0 13 Jun 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 174 762 0 09 Jun 2017
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks Shiyu Liang Yixuan Li R. Srikant UQCV OODD 179 2,085 0 08 Jun 2017
Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation Andrew P. Norton Yanjun Qi AAML 19 0 0 06 Jun 2017
Towards Robust Detection of Adversarial Examples Tianyu Pang Chao Du Yinpeng Dong Jun Zhu AAML 87 18 0 02 Jun 2017
Spectral Norm Regularization for Improving the Generalizability of Deep Learning Yuichi Yoshida Takeru Miyato 97 335 0 31 May 2017
Feature Squeezing Mitigates and Detects Carlini/Wagner Adversarial Examples Weilin Xu David Evans Yanjun Qi AAML 68 42 0 30 May 2017
Towards Metamerism via Foveated Style Transfer Arturo Deza Aditya Jonnalagadda Miguel P. Eckstein 62 33 0 29 May 2017
Robustness of classifiers to universal perturbations: a geometric perspective Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard Stefano Soatto AAML 103 118 0 26 May 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 56 1,210 0 25 May 2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference Abhishek Kumar P. Sattigeri P. T. Fletcher GAN 89 42 0 24 May 2017
Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation Matthias Hein Maksym Andriushchenko AAML 131 512 0 23 May 2017
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction Bin Liang Hongcheng Li Miaoqiang Su Xirong Li Wenchang Shi Xiaofeng Wang AAML 133 219 0 23 May 2017
Black-Box Attacks against RNN based Malware Detection Algorithms Weiwei Hu Ying Tan 66 151 0 23 May 2017
Regularizing deep networks using efficient layerwise adversarial training S. Sankaranarayanan Arpit Jain Rama Chellappa Ser Nam Lim AAML 90 97 0 22 May 2017
Evading Classifiers by Morphing in the Dark Hung Dang Yue Huang E. Chang AAML 97 124 0 22 May 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 142 1,869 0 20 May 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 217 2,738 0 19 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 142 1,376 0 18 May 2017
Delving into adversarial attacks on deep policies Jernej Kos Basel Alomair AAML 72 228 0 18 May 2017
Extending Defensive Distillation Nicolas Papernot Patrick McDaniel AAML 88 119 0 15 May 2017
Detecting Statistical Interactions from Neural Network Weights Michael Tsang Dehua Cheng Yan Liu 99 193 0 14 May 2017
Neural Style Transfer: A Review Yongcheng Jing Yezhou Yang Zunlei Feng Jingwen Ye Yizhou Yu Xiuming Zhang 154 742 0 11 May 2017
Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN Hyeungill Lee Sungyeob Han Jungwoo Lee AAML GAN 78 149 0 09 May 2017
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Li-Wei Chen Michael E. Kounavis Duen Horng Chau AAML 89 307 0 08 May 2017
DeepCorrect: Correcting DNN models against Image Distortions Tejas S. Borkar Lina Karam 131 93 0 05 May 2017
Detecting Adversarial Samples Using Density Ratio Estimates Lovedeep Gondara AAML 44 4 0 05 May 2017
Maximum Resilience of Artificial Neural Networks Chih-Hong Cheng Georg Nührenberg Harald Ruess AAML 145 284 0 28 Apr 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 156 808 0 28 Apr 2017
Deep Text Classification Can be Fooled Bin Liang Hongcheng Li Miaoqiang Su Pan Bian Xirong Li Wenchang Shi AAML 85 427 0 26 Apr 2017
Adversarial Neural Machine Translation Lijun Wu Yingce Xia Li Zhao Fei Tian Tao Qin Jianhuang Lai Tie-Yan Liu GAN AAML 94 134 0 20 Apr 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation J. H. Metzen Mummadi Chaithanya Kumar Thomas Brox Volker Fischer AAML 177 288 0 19 Apr 2017
Adversarial and Clean Data Are Not Twins Zhitao Gong Wenlu Wang Wei-Shinn Ku AAML 64 158 0 17 Apr 2017
Google's Cloud Vision API Is Not Robust To Noise Hossein Hosseini Baicen Xiao Radha Poovendran AAML 77 124 0 16 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 153 2,748 0 13 Apr 2017
MAGAN: Margin Adaptation for Generative Adversarial Networks Ruohan Wang Antoine Cully H. Chang Y. Demiris GAN 73 64 0 12 Apr 2017
The Space of Transferable Adversarial Examples Florian Tramèr Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML SILM 127 558 0 11 Apr 2017
Enhancing Robustness of Machine Learning Systems via Data Transformations A. Bhagoji Daniel Cullina Chawin Sitawarin Prateek Mittal AAML 114 231 0 09 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 104 1,283 0 04 Apr 2017
It Takes Two to Tango: Towards Theory of AI's Mind Arjun Chandrasekaran Deshraj Yadav Prithvijit Chattopadhyay Viraj Prabhu Devi Parikh 115 55 0 03 Apr 2017
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly Jiajun Lu Theerasit Issaranon David A. Forsyth GAN 120 381 0 01 Apr 2017
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Seong Joon Oh Mario Fritz Bernt Schiele CVBM AAML 431 162 0 28 Mar 2017
Adversarial Transformation Networks: Learning to Generate Adversarial Examples S. Baluja Ian S. Fischer GAN 87 286 0 28 Mar 2017
Biologically inspired protection of deep networks from adversarial attacks Aran Nayebi Surya Ganguli AAML 101 115 0 27 Mar 2017
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 113 935 0 24 Mar 2017
Smart Augmentation - Learning an Optimal Data Augmentation Strategy Joseph Lemley S. Bazrafkan Peter Corcoran 84 376 0 24 Mar 2017