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Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks Gaurav Goswami Nalini Ratha Akshay Agarwal Richa Singh Mayank Vatsa AAML 97 166 0 22 Feb 2018
The Hidden Vulnerability of Distributed Learning in Byzantium El-Mahdi El-Mhamdi R. Guerraoui Sébastien Rouault AAML FedML 79 769 0 22 Feb 2018
Adversarial Training for Probabilistic Spiking Neural Networks Alireza Bagheri Osvaldo Simeone Bipin Rajendran AAML 54 26 0 22 Feb 2018
L2-Nonexpansive Neural Networks Haifeng Qian M. Wegman 75 74 0 22 Feb 2018
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch João Monteiro Isabela Albuquerque Zahid Akhtar T. Falk AAML 90 29 0 21 Feb 2018
Interpreting Neural Network Judgments via Minimal, Stable, and Symbolic Corrections Xin Zhang Armando Solar-Lezama Rishabh Singh FAtt 115 63 0 21 Feb 2018
Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning Christopher Frederickson Michael Moore Glenn Dawson R. Polikar AAML 62 33 0 20 Feb 2018
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression Nilaksh Das Madhuri Shanbhogue Shang-Tse Chen Fred Hohman Siwei Li Li-Wei Chen Michael E. Kounavis Duen Horng Chau FedML AAML 85 228 0 19 Feb 2018
Divide, Denoise, and Defend against Adversarial Attacks Seyed-Mohsen Moosavi-Dezfooli A. Shrivastava Oncel Tuzel AAML 57 45 0 19 Feb 2018
Are Generative Classifiers More Robust to Adversarial Attacks? Yingzhen Li John Bradshaw Yash Sharma AAML 102 79 0 19 Feb 2018
Bayesian Uncertainty Estimation for Batch Normalized Deep Networks Mattias Teye Hossein Azizpour Kevin Smith BDL UQCV 172 241 0 18 Feb 2018
DARTS: Deceiving Autonomous Cars with Toxic Signs Chawin Sitawarin A. Bhagoji Arsalan Mosenia M. Chiang Prateek Mittal AAML 117 236 0 18 Feb 2018
Security and Privacy Approaches in Mixed Reality: A Literature Survey Jaybie A. de Guzman Kanchana Thilakarathna Aruna Seneviratne 77 135 0 15 Feb 2018
ASP:A Fast Adversarial Attack Example Generation Framework based on Adversarial Saliency Prediction Fuxun Yu Qide Dong Xiang Chen AAML 62 6 0 15 Feb 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks J. Uesato Brendan O'Donoghue Aaron van den Oord Pushmeet Kohli AAML 185 606 0 15 Feb 2018
Fooling OCR Systems with Adversarial Text Images Congzheng Song Vitaly Shmatikov AAML 61 51 0 15 Feb 2018
Stealing Hyperparameters in Machine Learning Binghui Wang Neil Zhenqiang Gong AAML 178 467 0 14 Feb 2018
Security Analysis and Enhancement of Model Compressed Deep Learning Systems under Adversarial Attacks Qi Liu Tao Liu Zihao Liu Yanzhi Wang Yier Jin Wujie Wen AAML 68 48 0 14 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 90 592 0 13 Feb 2018
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models Mengying Sun Fengyi Tang Jinfeng Yi Fei Wang Jiayu Zhou AAML OOD MedIm 85 63 0 13 Feb 2018
Modeling of Facial Aging and Kinship: A Survey Markos Georgopoulos Yannis Panagakis Maja Pantic CVBM 59 26 0 13 Feb 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring Yossi Adi Carsten Baum Moustapha Cissé Benny Pinkas Joseph Keshet 78 685 0 13 Feb 2018
Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples Felix Kreuk A. Barak Shir Aviv-Reuven Moran Baruch Benny Pinkas Joseph Keshet AAML 75 118 0 13 Feb 2018
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks Yusuke Tsuzuku Issei Sato Masashi Sugiyama AAML 117 309 0 12 Feb 2018
Critères de qualité dún classifieur généraliste Gilles R. Ducharme 27 1 0 10 Feb 2018
Certified Robustness to Adversarial Examples with Differential Privacy Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel J. Hsu Suman Jana SILM AAML 131 940 0 09 Feb 2018
Adversarial Metric Learning Shuo Chen Chen Gong Jian Yang Xiang Li Yang Wei Jun Yu Li 80 46 0 09 Feb 2018
Few-shot learning of neural networks from scratch by pseudo example optimization Akisato Kimura Zoubin Ghahramani Koh Takeuchi Tomoharu Iwata N. Ueda 94 52 0 08 Feb 2018
TSViz: Demystification of Deep Learning Models for Time-Series Analysis Shoaib Ahmed Siddiqui Dominique Mercier Mohsin Munir Andreas Dengel Sheraz Ahmed FAtt AI4TS 115 84 0 08 Feb 2018
VISER: Visual Self-Regularization Hamid Izadinia Pierre Garrigues SSL 75 4 0 07 Feb 2018
ShakeDrop Regularization for Deep Residual Learning Yoshihiro Yamada Masakazu Iwamura Takuya Akiba K. Kise 119 164 0 07 Feb 2018
Recent Advances in Neural Program Synthesis Neel Kant NAI 106 37 0 07 Feb 2018
ClassSim: Similarity between Classes Defined by Misclassification Ratios of Trained Classifiers Kazuma Arino Yohei Kikuta 33 1 0 05 Feb 2018
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations M. Harradon Jeff Druce Brian E. Ruttenberg BDL CML 53 82 0 02 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples Anish Athalye Nicholas Carlini D. Wagner AAML 301 3,197 0 01 Feb 2018
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach Tsui-Wei Weng Huan Zhang Pin-Yu Chen Jinfeng Yi D. Su Yupeng Gao Cho-Jui Hsieh Luca Daniel AAML 85 469 0 31 Jan 2018
Certified Defenses against Adversarial Examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 130 969 0 29 Jan 2018
Deflecting Adversarial Attacks with Pixel Deflection Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 110 304 0 26 Jan 2018
Learning to Evade Static PE Machine Learning Malware Models via Reinforcement Learning Hyrum S. Anderson Anant Kharkar Bobby Filar David Evans P. Roth AAML 90 210 0 26 Jan 2018
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition Xuejing Yuan Yuxuan Chen Yue Zhao Yunhui Long Xiaokang Liu Kai Chen Shengzhi Zhang Heqing Huang Wenyuan Xu Carl A. Gunter AAML 121 356 0 24 Jan 2018
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Konda Reddy Mopuri Aditya Ganeshan R. Venkatesh Babu AAML 151 206 0 24 Jan 2018
Adversarial Texts with Gradient Methods Zhitao Gong Wenlu Wang Yangqiu Song Basel Alomair Wei-Shinn Ku AAML 106 77 0 22 Jan 2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers Fred Hohman Minsuk Kahng Robert S. Pienta Duen Horng Chau OOD HAI 103 541 0 21 Jan 2018
Localization-Aware Active Learning for Object Detection Chieh-Chi Kao Teng-Yok Lee P. Sen Ming-Yuan Liu ObjD 78 122 0 16 Jan 2018
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks Bo Luo Yannan Liu Lingxiao Wei Q. Xu AAML 65 142 0 15 Jan 2018
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers Ji Gao Jack Lanchantin M. Soffa Yanjun Qi AAML 166 727 0 13 Jan 2018
A3T: Adversarially Augmented Adversarial Training Akram Erraqabi A. Baratin Yoshua Bengio Simon Lacoste-Julien AAML 94 9 0 12 Jan 2018
Fooling End-to-end Speaker Verification by Adversarial Examples Felix Kreuk Yossi Adi Moustapha Cissé Joseph Keshet AAML 86 203 0 10 Jan 2018
Adversarial Deep Learning for Robust Detection of Binary Encoded Malware Abdullah Al-Dujaili Alex Huang Erik Hemberg Una-May O’Reilly AAML 107 188 0 09 Jan 2018
Less is More: Culling the Training Set to Improve Robustness of Deep Neural Networks Yongshuai Liu Jiyu Chen Hao Chen AAML 85 14 0 09 Jan 2018