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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
Towards Transferable Adversarial Attack against Deep Face Recognition Yaoyao Zhong Weihong Deng AAML 105 162 0 13 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 53 42 0 11 Apr 2020
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness Haidong Xie Lixin Qian Xueshuang Xiang Naijin Liu AAML 30 1 0 10 Apr 2020
Blind Adversarial Training: Balance Accuracy and Robustness Haidong Xie Xueshuang Xiang Naijin Liu Bin Dong AAML 26 2 0 10 Apr 2020
SOAR: Second-Order Adversarial Regularization A. Ma Fartash Faghri Nicolas Papernot Amir-massoud Farahmand AAML 37 4 0 04 Apr 2020
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes Sravanti Addepalli S. VivekB. Arya Baburaj Gaurang Sriramanan R. Venkatesh Babu AAML 31 32 0 01 Apr 2020
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays Ch. Srinivasa Rao Jingyun Liang Runhao Zeng Qi Chen Huazhu Fu Yanwu Xu Mingkui Tan AAML 34 7 0 31 Mar 2020
Towards Deep Learning Models Resistant to Large Perturbations Amirreza Shaeiri Rozhin Nobahari M. Rohban OOD AAML 81 12 0 30 Mar 2020
Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling HanQin Cai Daniel McKenzie W. Yin Zhenliang Zhang 170 50 0 29 Mar 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 71 252 0 28 Mar 2020
Adversarial Imitation Attack Mingyi Zhou Jing Wu Yipeng Liu Xiaolin Huang Shuaicheng Liu Xiang Zhang Ce Zhu AAML 39 0 0 28 Mar 2020
DaST: Data-free Substitute Training for Adversarial Attacks Mingyi Zhou Jing Wu Yipeng Liu Shuaicheng Liu Ce Zhu 92 145 0 28 Mar 2020
Adversarial Attacks on Monocular Depth Estimation Ziqi Zhang Xinge Zhu Yingwei Li Xiangqun Chen Yao Guo AAML MDE 83 26 0 23 Mar 2020
DP-Net: Dynamic Programming Guided Deep Neural Network Compression Dingcheng Yang Wenjian Yu Ao Zhou Haoyuan Mu G. Yao Xiaoyi Wang 40 6 0 21 Mar 2020
Quantum noise protects quantum classifiers against adversaries Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 78 112 0 20 Mar 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 176 277 0 19 Mar 2020
Camera Trace Erasing C. Chen Zhiwei Xiong Xiaoming Liu Feng Wu 77 22 0 16 Mar 2020
Certified Defenses for Adversarial Patches Ping Yeh-Chiang Renkun Ni Ahmed Abdelkader Chen Zhu Christoph Studer Tom Goldstein AAML 67 172 0 14 Mar 2020
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation Xiaogang Xu Hengshuang Zhao Jiaya Jia AAML 49 41 0 14 Mar 2020
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Jin Young Lee AAML 121 55 0 12 Mar 2020
SAD: Saliency-based Defenses Against Adversarial Examples Richard Tran David Patrick Michaela Geyer Amanda Fernandez AAML 55 5 0 10 Mar 2020
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world I. Fursov Alexey Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 46 11 0 09 Mar 2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Y. Yoo AAML OOD 430 54 0 09 Mar 2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models Raphaël Dang-Nhu Gagandeep Singh Pavol Bielik Martin Vechev AI4TS AAML 84 21 0 08 Mar 2020
Explaining Away Attacks Against Neural Networks Sean Saito Jin Wang AAML GAN FAtt 21 0 0 06 Mar 2020
Towards Practical Lottery Ticket Hypothesis for Adversarial Training Bai Li Shiqi Wang Yunhan Jia Yantao Lu Zhenyu Zhong Lawrence Carin Suman Jana AAML 142 14 0 06 Mar 2020
Search Space of Adversarial Perturbations against Image Filters D. D. Thang Toshihiro Matsui AAML 33 1 0 05 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 252 119 0 05 Mar 2020
A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang Cyrus Rashtchian Hongyang R. Zhang Ruslan Salakhutdinov Kamalika Chaudhuri OOD 154 26 0 05 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving Systems M. Shafiee Ahmadreza Jeddi Amir Nazemi Paul Fieguth A. Wong OOD 64 16 0 04 Mar 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman Mingjie Sun Greg Yang Ashish Kapoor J. Zico Kolter 94 23 0 04 Mar 2020
Analyzing Accuracy Loss in Randomized Smoothing Defenses Yue Gao Harrison Rosenberg Kassem Fawaz S. Jha Justin Hsu AAML 78 6 0 03 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 129 67 0 02 Mar 2020
Optimal Feature Manipulation Attacks Against Linear Regression Fuwei Li Lifeng Lai Shuguang Cui AAML 59 2 0 29 Feb 2020
Applying Tensor Decomposition to image for Robustness against Adversarial Attack Seungju Cho Tae Joon Jun Mingu Kang Daeyoung Kim AAML 40 3 0 28 Feb 2020
Are L2 adversarial examples intrinsically different? Mingxuan Li Jingyuan Wang Yufan Wu AAML 16 0 0 28 Feb 2020
The Effectiveness of Johnson-Lindenstrauss Transform for High Dimensional Optimization With Adversarial Outliers, and the Recovery Hu Ding Ruizhe Qin Jiawei Huang AAML 42 0 0 27 Feb 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction Ankit Raj Y. Bresler Yue Liu OOD AAML 96 51 0 26 Feb 2020
Adversarial Ranking Attack and Defense Mo Zhou Zhenxing Niu Le Wang Qilin Zhang G. Hua 156 39 0 26 Feb 2020
Adversarial Perturbations Prevail in the Y-Channel of the YCbCr Color Space Camilo Pestana Naveed Akhtar Wei Liu D. Glance Ajmal Mian AAML 60 10 0 25 Feb 2020
Precise Tradeoffs in Adversarial Training for Linear Regression Adel Javanmard Mahdi Soltanolkotabi Hamed Hassani AAML 83 109 0 24 Feb 2020
A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA Giuseppe Ughi V. Abrol Jared Tanner AAML 41 3 0 24 Feb 2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 95 79 0 24 Feb 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference Ting-Kuei Hu Tianlong Chen Haotao Wang Zhangyang Wang OOD AAML 3DH 98 84 0 24 Feb 2020
Neuron Shapley: Discovering the Responsible Neurons Amirata Ghorbani James Zou FAtt TDI 63 115 0 23 Feb 2020
Real-Time Detectors for Digital and Physical Adversarial Inputs to Perception Systems Y. Kantaros Taylor J. Carpenter Kaustubh Sridhar Yahan Yang Insup Lee James Weimer AAML 66 13 0 23 Feb 2020
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks K. Sivamani R. Sahay Aly El Gamal AAML 35 3 0 22 Feb 2020
Temporal Sparse Adversarial Attack on Sequence-based Gait Recognition Ziwen He Wei Wang Jing Dong Tieniu Tan AAML 89 25 0 22 Feb 2020
Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples Guanxiong Liu Issa M. Khalil Abdallah Khreishah AAML 58 19 0 22 Feb 2020
Polarizing Front Ends for Robust CNNs Can Bakiskan S. Gopalakrishnan Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 45 4 0 22 Feb 2020