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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Efficient Two-Step Adversarial Defense for Deep Neural Networks Ting-Jui Chang Yukun He Peng Li AAML 69 11 0 08 Oct 2018
Combinatorial Attacks on Binarized Neural Networks Elias Boutros Khalil Amrita Gupta B. Dilkina AAML 89 40 0 08 Oct 2018
Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks Sanghyun Hong Michael Davinroy Yigitcan Kaya S. Locke Ian Rackow Kevin Kulda Dana Dachman-Soled Tudor Dumitras MIACV 84 90 0 08 Oct 2018
Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness Chihuang Liu Joseph Jaja AAML 69 12 0 04 Oct 2018
Improved Generalization Bounds for Adversarially Robust Learning Idan Attias A. Kontorovich Yishay Mansour 82 20 0 04 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Improving the Generalization of Adversarial Training with Domain Adaptation Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML OOD 112 132 0 01 Oct 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 93 171 0 01 Oct 2018
Procedural Noise Adversarial Examples for Black-Box Attacks on Deep Convolutional Networks Kenneth T. Co Luis Muñoz-González Sixte de Maupeou Emil C. Lupu AAML 74 67 0 30 Sep 2018
Training Machine Learning Models by Regularizing their Explanations A. Ross FaML 63 0 0 29 Sep 2018
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 148 684 0 28 Sep 2018
Neural Networks with Structural Resistance to Adversarial Attacks Luca de Alfaro AAML 45 5 0 25 Sep 2018
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces Chia-Yi Hsu Pei-Hsuan Lu Pin-Yu Chen Chia-Mu Yu AAML 70 1 0 24 Sep 2018
Low Frequency Adversarial Perturbation Chuan Guo Jared S. Frank Kilian Q. Weinberger AAML 86 168 0 24 Sep 2018
$Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR$ Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR Pin-Yu Chen B. Vinzamuri Sijia Liu AAML OOD 69 7 0 24 Sep 2018
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples Deqiang Li Ramesh Baral Tao Li Han Wang Qianmu Li Shouhuai Xu AAML 63 21 0 18 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 68 235 0 13 Sep 2018
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction Jianguo Zhang Ji Wang Lifang He Zhao Li Philip S. Yu 74 31 0 11 Sep 2018
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions Yusuke Tsuzuku Issei Sato AAML 84 62 0 11 Sep 2018
Certified Adversarial Robustness with Additive Noise Bai Li Changyou Chen Wenlin Wang Lawrence Carin AAML 121 350 0 10 Sep 2018
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples Dan Peng Zizhan Zheng Xiaofeng Zhang AAML 57 5 0 08 Sep 2018
Bridging machine learning and cryptography in defence against adversarial attacks O. Taran Shideh Rezaeifar Svyatoslav Voloshynovskiy AAML 57 22 0 05 Sep 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
Mitigation of Adversarial Attacks through Embedded Feature Selection Ziyi Bao Luis Muñoz-González Emil C. Lupu AAML 44 1 0 16 Aug 2018
Distributionally Adversarial Attack T. Zheng Changyou Chen K. Ren OOD 101 123 0 16 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
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 61 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
DeepCloak: Adversarial Crafting As a Defensive Measure to Cloak Processes Mehmet Sinan Inci T. Eisenbarth B. Sunar AAML 64 8 0 03 Aug 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
Symbolic Execution for Deep Neural Networks D. Gopinath Kaiyuan Wang Mengshi Zhang C. Păsăreanu S. Khurshid AAML 81 54 0 27 Jul 2018
Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors Andrew Ilyas Logan Engstrom Aleksander Madry MLAU AAML 110 375 0 20 Jul 2018
Harmonic Adversarial Attack Method Wen Heng Shuchang Zhou Tingting Jiang AAML 54 6 0 18 Jul 2018
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding Tong Chen Wenjia Niu Yingxiao Xiang XiaoXuan Bai Jiqiang Liu Zhen Han Gang Li AAML 62 24 0 18 Jul 2018
Attack and defence in cellular decision-making: lessons from machine learning Thomas J. Rademaker Emmanuel Bengio P. Franccois AAML 51 4 0 10 Jul 2018
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations Dan Hendrycks Thomas G. Dietterich OOD 126 202 0 04 Jul 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 91 463 0 03 Jul 2018
Adversarial Perturbations Against Real-Time Video Classification Systems Shasha Li Ajaya Neupane S. Paul Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury A. Swami AAML 94 121 0 02 Jul 2018
Adversarial Examples in Deep Learning: Characterization and Divergence Wenqi Wei Ling Liu Margaret Loper Stacey Truex Lei Yu Mehmet Emre Gursoy Yanzhao Wu AAML SILM 119 18 0 29 Jun 2018
A New Angle on L2 Regularization T. Tanay Lewis D. Griffin LLMSV 50 5 0 28 Jun 2018
Adversarial Reprogramming of Neural Networks Gamaleldin F. Elsayed Ian Goodfellow Jascha Narain Sohl-Dickstein OOD AAML 55 184 0 28 Jun 2018
Built-in Vulnerabilities to Imperceptible Adversarial Perturbations T. Tanay Jerone T. A. Andrews Lewis D. Griffin 73 7 0 19 Jun 2018
Non-Negative Networks Against Adversarial Attacks William Fleshman Edward Raff Jared Sylvester Steven Forsyth Mark McLean AAML 66 41 0 15 Jun 2018
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data Jacson Rodrigues Correia-Silva Rodrigo Berriel C. Badue Alberto F. de Souza Thiago Oliveira-Santos MLAU 88 175 0 14 Jun 2018
Adversarial Meta-Learning Chengxiang Yin Jian Tang Zhiyuan Xu Yanzhi Wang 95 42 0 08 Jun 2018
Monge blunts Bayes: Hardness Results for Adversarial Training Zac Cranko A. Menon Richard Nock Cheng Soon Ong Zhan Shi Christian J. Walder AAML 73 17 0 08 Jun 2018
Training Augmentation with Adversarial Examples for Robust Speech Recognition Sining Sun Ching-Feng Yeh Mari Ostendorf M. Hwang Lei Xie AAML 82 63 0 07 Jun 2018