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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

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Title
Distributionally Robust Local Non-parametric Conditional Estimation Viet Anh Nguyen Fan Zhang Jose H. Blanchet Erick Delage Yinyu Ye OOD 151 26 0 12 Oct 2020
Learning Task-aware Robust Deep Learning Systems Keji Han Yun Li Xianzhong Long Yao Ge OOD 44 0 0 11 Oct 2020
Diagnosing and Preventing Instabilities in Recurrent Video Processing T. Tanay Aivar Sootla Matteo Maggioni P. Dokania Philip Torr A. Leonardis Greg Slabaugh 72 7 0 10 Oct 2020
Rare-Event Simulation for Neural Network and Random Forest Predictors Yuanlu Bai Zhiyuan Huang Henry Lam Ding Zhao 53 24 0 10 Oct 2020
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks Anit Kumar Sahu Satya Narayan Shukla J. Zico Kolter AAML 47 1 0 08 Oct 2020
Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective Philipp Benz Chaoning Zhang In So Kweon AAML 74 41 0 07 Oct 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation Chaoning Zhang Philipp Benz Tooba Imtiaz In So Kweon AAML 63 61 0 07 Oct 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 95 48 0 07 Oct 2020
Constraining Logits by Bounded Function for Adversarial Robustness Sekitoshi Kanai Masanori Yamada Shin'ya Yamaguchi Hiroshi Takahashi Yasutoshi Ida AAML 35 4 0 06 Oct 2020
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference Sanghyun Hong Yigitcan Kaya Ionut-Vlad Modoranu Tudor Dumitras AAML 83 73 0 06 Oct 2020
Understanding Classifier Mistakes with Generative Models Laetitia Shao Yang Song Stefano Ermon 44 4 0 05 Oct 2020
Adversarial Boot Camp: label free certified robustness in one epoch Ryan Campbell Chris Finlay Adam M. Oberman AAML 50 0 0 05 Oct 2020
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 112 95 0 03 Oct 2020
CorrAttack: Black-box Adversarial Attack with Structured Search Zhichao Huang Yaowei Huang Tong Zhang AAML 67 8 0 03 Oct 2020
Interpreting Robust Optimization via Adversarial Influence Functions Zhun Deng Cynthia Dwork Jialiang Wang Linjun Zhang TDI 49 12 0 03 Oct 2020
A Deep Genetic Programming based Methodology for Art Media Classification Robust to Adversarial Perturbations Gustavo Olague Gerardo Ibarra-Vázquez Mariana Chan-Ley Cesar Puente C. Soubervielle-Montalvo Axel Martinez AAML 13 7 0 03 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 76 57 0 02 Oct 2020
Adversarial Attacks Against Deep Learning Systems for ICD-9 Code Assignment Sharan Raja Rudraksh Tuwani AAML 46 3 0 29 Sep 2020
Detection of Iterative Adversarial Attacks via Counter Attack Matthias Rottmann Kira Maag Mathis Peyron N. Krejić Hanno Gottschalk AAML 49 4 0 23 Sep 2020
Adversarial robustness via stochastic regularization of neural activation sensitivity Gil Fidel Ron Bitton Ziv Katzir A. Shabtai AAML 40 1 0 23 Sep 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version) Gautam Raj Mode K. A. Hoque AAML 68 19 0 21 Sep 2020
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations A. Wong Mukund Mundhra Stefano Soatto AAML 73 27 0 21 Sep 2020
DeepDyve: Dynamic Verification for Deep Neural Networks Yu Li Min Li Bo Luo Ye Tian Qiang Xu AAML 89 31 0 21 Sep 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 105 33 0 19 Sep 2020
Adversarial Rain Attack and Defensive Deraining for DNN Perception Liming Zhai Felix Juefei Xu Qing Guo Xiaofei Xie Lei Ma Weiiia Feng Shengchao Qin Yang Liu AAML 52 16 0 19 Sep 2020
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning Yao Zhou Jun Wu Haixun Wang Jingrui He AAML FedML 104 28 0 18 Sep 2020
Encoding Robustness to Image Style via Adversarial Feature Perturbations Manli Shu Zuxuan Wu Micah Goldblum Tom Goldstein AAML OOD 75 19 0 18 Sep 2020
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks Thomas Gittings Steve A. Schneider John Collomosse AAML 70 13 0 17 Sep 2020
Online Alternate Generator against Adversarial Attacks Haofeng Li Yirui Zeng Guanbin Li Liang Lin Yizhou Yu AAML 69 6 0 17 Sep 2020
Certifying Confidence via Randomized Smoothing Aounon Kumar Alexander Levine Soheil Feizi Tom Goldstein UQCV 102 40 0 17 Sep 2020
Input Hessian Regularization of Neural Networks Waleed Mustafa Robert A. Vandermeulen Marius Kloft AAML 54 12 0 14 Sep 2020
Risk Bounds for Robust Deep Learning Johannes Lederer OOD 59 16 0 14 Sep 2020
Achieving Adversarial Robustness via Sparsity Shu-Fan Wang Ningyi Liao Liyao Xiang Nanyang Ye Quanshi Zhang AAML 58 16 0 11 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 81 24 0 11 Sep 2020
Second Order Optimization for Adversarial Robustness and Interpretability Theodoros Tsiligkaridis Jay Roberts AAML 42 8 0 10 Sep 2020
End-to-end Kernel Learning via Generative Random Fourier Features Kun Fang Fanghui Liu Xiaolin Huang Jie Yang 68 9 0 10 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 136 164 0 08 Sep 2020
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation Danilo Vasconcellos Vargas Bingli Liao Takahiro Kanzaki AAML 54 3 0 02 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 100 49 0 02 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 121 32 0 02 Sep 2020
Defending against substitute model black box adversarial attacks with the 01 loss Yunzhe Xue Meiyan Xie Usman Roshan AAML 34 1 0 01 Sep 2020
An Integrated Approach to Produce Robust Models with High Efficiency Zhijian Li Bao Wang Jack Xin MQ AAML 35 3 0 31 Aug 2020
Improving Resistance to Adversarial Deformations by Regularizing Gradients Pengfei Xia Bin Li AAML 58 4 0 29 Aug 2020
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More Aleksandar Bojchevski Johannes Klicpera Stephan Günnemann AAML 124 87 0 29 Aug 2020
Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition Ping Liu Yuewei Lin Zibo Meng Lu Lu Weihong Deng Qiufeng Wang Yi Yang 96 27 0 26 Aug 2020
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks Abhiroop Bhattacharjee Priyadarshini Panda AAML 67 19 0 25 Aug 2020
Towards adversarial robustness with 01 loss neural networks Yunzhe Xue Meiyan Xie Usman Roshan OOD AAML 66 5 0 20 Aug 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 61 52 0 20 Aug 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 119 19 0 19 Aug 2020
A New Perspective on Stabilizing GANs training: Direct Adversarial Training Ziqiang Li Pengfei Xia Rentuo Tao Hongjing Niu Bin Li GAN 107 33 0 19 Aug 2020