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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension Jiuniu Wang Xingyu Fu Guangluan Xu Yirong Wu Ziyan Chen Yang Wei Li Jin AIMat 42 2 0 03 Sep 2018
Data Augmentation for Neural Online Chat Response Selection Wenchao Du A. Black 56 15 0 03 Sep 2018
MULDEF: Multi-model-based Defense Against Adversarial Examples for Neural Networks Siwakorn Srisakaokul Yuhao Zhang Zexuan Zhong Wei Yang Tao Xie Bo Li AAML 87 19 0 31 Aug 2018
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation C. Liao Haoti Zhong Anna Squicciarini Sencun Zhu David J. Miller SILM 100 319 0 30 Aug 2018
Lipschitz regularized Deep Neural Networks generalize and are adversarially robust Chris Finlay Jeff Calder Bilal Abbasi Adam M. Oberman 95 55 0 28 Aug 2018
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension Matthias Blohm Glorianna Jagfeld Ekta Sood Xiang Yu Ngoc Thang Vu 75 54 0 27 Aug 2018
Generalized Capsule Networks with Trainable Routing Procedure Zhenhua Chen David J. Crandall 3DPC MedIm 65 31 0 27 Aug 2018
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge Pasquale Minervini Sebastian Riedel AAML NAI GAN 74 119 0 26 Aug 2018
Guiding Deep Learning System Testing using Surprise Adequacy Jinhan Kim R. Feldt S. Yoo AAML ELM 76 433 0 25 Aug 2018
Analysis of adversarial attacks against CNN-based image forgery detectors Diego Gragnaniello Francesco Marra Giovanni Poggi L. Verdoliva AAML 44 31 0 25 Aug 2018
Maximal Jacobian-based Saliency Map Attack R. Wiyatno Anqi Xu AAML 42 88 0 23 Aug 2018
Adversarial Attacks on Deep-Learning Based Radio Signal Classification Meysam Sadeghi Erik G. Larsson AAML 58 261 0 23 Aug 2018
Adversarial training for multi-context joint entity and relation extraction Giannis Bekoulis Johannes Deleu T. Demeester Chris Develder GAN 93 177 0 21 Aug 2018
Are You Tampering With My Data? Michele Alberti Vinaychandran Pondenkandath Marcel Würsch Manuel Bouillon Mathias Seuret Rolf Ingold Marcus Liwicki AAML 112 19 0 21 Aug 2018
zoNNscan : a boundary-entropy index for zone inspection of neural models Adel Jaouen Erwan Le Merrer UQCV 62 3 0 21 Aug 2018
Controlling Over-generalization and its Effect on Adversarial Examples Generation and Detection Mahdieh Abbasi Arezoo Rajabi A. Mozafari R. Bobba Christian Gagné AAML 74 9 0 21 Aug 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations Gabi Shalev Yossi Adi Joseph Keshet OODD 94 85 0 20 Aug 2018
Tangent-Normal Adversarial Regularization for Semi-supervised Learning Ting Yu Jingfeng Wu Jinwen Ma Zhanxing Zhu 58 35 0 18 Aug 2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking Yi Han Benjamin I. P. Rubinstein Tamas Abraham T. Alpcan O. Vel S. Erfani David Hubczenko C. Leckie Paul Montague AAML 55 69 0 17 Aug 2018
Data Poisoning Attacks in Contextual Bandits Yuzhe Ma Kwang-Sung Jun Lihong Li Xiaojin Zhu AAML 85 68 0 17 Aug 2018
Mitigation of Adversarial Attacks through Embedded Feature Selection Ziyi Bao Luis Muñoz-González Emil C. Lupu AAML 44 1 0 16 Aug 2018
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding Lea Schonherr Katharina Kohls Steffen Zeiler Thorsten Holz D. Kolossa AAML 89 291 0 16 Aug 2018
Distributionally Adversarial Attack T. Zheng Changyou Chen K. Ren OOD 101 123 0 16 Aug 2018
Adversarial Personalized Ranking for Recommendation Xiangnan He Zhankui He Xiaoyu Du Tat-Seng Chua 116 398 0 12 Aug 2018
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks Nikola B. Kovachki Andrew M. Stuart BDL 109 139 0 10 Aug 2018
Android HIV: A Study of Repackaging Malware for Evading Machine-Learning Detection Xiao Chen Chaoran Li Derui Wang S. Wen Jun Zhang Surya Nepal Yang Xiang K. Ren AAML 80 248 0 10 Aug 2018
Beyond Pixel Norm-Balls: Parametric Adversaries using an Analytically Differentiable Renderer Hsueh-Ti Derek Liu Michael Tao Chun-Liang Li Derek Nowrouzezahrai Alec Jacobson AAML 84 13 0 08 Aug 2018
Grassmannian Learning: Embedding Geometry Awareness in Shallow and Deep Learning Jiayao Zhang Guangxu Zhu R. Heath Kaibin Huang 76 43 0 07 Aug 2018
Adversarial Vision Challenge Wieland Brendel Jonas Rauber Alexey Kurakin Nicolas Papernot Behar Veliqi M. Salathé Sharada Mohanty Matthias Bethge AAML 79 58 0 06 Aug 2018
Defense Against Adversarial Attacks with Saak Transform Sibo Song Yueru Chen Ngai-Man Cheung C.-C. Jay Kuo 69 24 0 06 Aug 2018
Gray-box Adversarial Training S. VivekB. Konda Reddy Mopuri R. Venkatesh Babu AAML 57 35 0 06 Aug 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D. Su Huan Zhang Hongge Chen Jinfeng Yi Pin-Yu Chen Yupeng Gao VLM 140 393 0 05 Aug 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu Sijia Liu Pu Zhao Pin-Yu Chen Huan Zhang Quanfu Fan Deniz Erdogmus Yanzhi Wang Xinyu Lin AAML 126 162 0 05 Aug 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 110 16 0 05 Aug 2018
Using Machine Learning Safely in Automotive Software: An Assessment and Adaption of Software Process Requirements in ISO 26262 Rick Salay Krzysztof Czarnecki 104 70 0 05 Aug 2018
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation Pankaj Gupta Hinrich Schütze 71 16 0 05 Aug 2018
ATMPA: Attacking Machine Learning-based Malware Visualization Detection Methods via Adversarial Examples Xinbo Liu Jiliang Zhang Yaping Lin He Li AAML 57 56 0 05 Aug 2018
Teacher Guided Architecture Search P. Bashivan Mark Tensen J. DiCarlo 3DV 85 27 0 04 Aug 2018
Generalization Error in Deep Learning Daniel Jakubovitz Raja Giryes M. Rodrigues AI4CE 241 111 0 03 Aug 2018
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions Konda Reddy Mopuri P. Uppala R. Venkatesh Babu AAML 86 85 0 03 Aug 2018
Generative Adversarial Frontal View to Bird View Synthesis Xinge Zhu Zhichao Yin Jianping Shi Hongsheng Li Dahua Lin GAN 73 54 0 01 Aug 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Helen Zhou FaML 101 1,097 0 31 Jul 2018
Analyzing Human-Human Interactions: A Survey Alexandros Stergiou R. Poppe 69 14 0 31 Jul 2018
Security and Privacy Issues in Deep Learning Ho Bae Jaehee Jang Dahuin Jung Hyemi Jang Heonseok Ha Hyungyu Lee Sungroh Yoon SILM MIACV 147 79 0 31 Jul 2018
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning Thomas Robert Nicolas Thome Matthieu Cord 124 39 0 30 Jul 2018
Symbolic Execution for Deep Neural Networks D. Gopinath Kaiyuan Wang Mengshi Zhang C. Păsăreanu S. Khurshid AAML 81 54 0 27 Jul 2018
HiDDeN: Hiding Data With Deep Networks Jiren Zhu Russell Kaplan Justin Johnson Li Fei-Fei WIGM 79 759 0 26 Jul 2018
Limitations of the Lipschitz constant as a defense against adversarial examples Todd P. Huster C. Chiang R. Chadha AAML 63 84 0 25 Jul 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zhangyang Wang Zhaowen Wang Hailin Jin AAML PICV 91 153 0 22 Jul 2018
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors Andrew Ilyas Logan Engstrom Aleksander Madry MLAU AAML 106 375 0 20 Jul 2018