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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
Multi-Label Adversarial Perturbations Qingquan Song Haifeng Jin Xiao Huang Helen Zhou AAML 63 37 0 02 Jan 2019
A Data-driven Adversarial Examples Recognition Framework via Adversarial Feature Genome Li Chen Qi Li Jiawei Zhu Jian Peng Haifeng Li AAML 66 3 0 25 Dec 2018
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense Hang Zhou Kejiang Chen Weiming Zhang Han Fang Wenbo Zhou Nenghai Yu 3DPC 69 8 0 25 Dec 2018
Enhancing Robustness of Deep Neural Networks Against Adversarial Malware Samples: Principles, Framework, and AICS'2019 Challenge Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 66 15 0 19 Dec 2018
Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks Xiang Li Shihao Ji AAML 75 26 0 17 Dec 2018
Adversarial Sample Detection for Deep Neural Network through Model Mutation Testing Jingyi Wang Guoliang Dong Jun Sun Xinyu Wang Peixin Zhang AAML 80 191 0 14 Dec 2018
On the Security of Randomized Defenses Against Adversarial Samples K. Sharad G. Marson H. Truong Ghassan O. Karame AAML 49 1 0 11 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 84 60 0 10 Dec 2018
Learning Transferable Adversarial Examples via Ghost Networks Yingwei Li S. Bai Yuyin Zhou Cihang Xie Zhishuai Zhang Alan Yuille AAML 134 138 0 09 Dec 2018
AutoGAN: Robust Classifier Against Adversarial Attacks Blerta Lindqvist Shridatt Sugrim R. Izmailov AAML 40 7 0 08 Dec 2018
Adversarial Defense of Image Classification Using a Variational Auto-Encoder Yi-Si Luo H. Pfister AAML 51 9 0 07 Dec 2018
Adversarial Attacks, Regression, and Numerical Stability Regularization A. Nguyen Edward Raff AAML 52 30 0 07 Dec 2018
Fooling Network Interpretation in Image Classification Akshayvarun Subramanya Vipin Pillai Hamed Pirsiavash AAML FAtt 49 7 0 06 Dec 2018
Towards Leveraging the Information of Gradients in Optimization-based Adversarial Attack Jingyang Zhang Hsin-Pai Cheng Chunpeng Wu Hai Helen Li Yiran Chen AAML 41 0 0 06 Dec 2018
On Configurable Defense against Adversarial Example Attacks Bo Luo Min Li Yu Li Q. Xu AAML 40 1 0 06 Dec 2018
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications Abdullah Hamdi Matthias Muller Guohao Li AAML 84 26 0 05 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 138 174 0 03 Dec 2018
Effects of Loss Functions And Target Representations on Adversarial Robustness Sean Saito S. Roy AAML 72 7 0 01 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 83 76 0 30 Nov 2018
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 147 271 0 30 Nov 2018
Adversarial Examples as an Input-Fault Tolerance Problem A. Galloway A. Golubeva Graham W. Taylor SILM AAML 38 0 0 30 Nov 2018
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks Akhilan Boopathy Tsui-Wei Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 158 138 0 29 Nov 2018
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers Nathan Inkawhich Matthew J. Inkawhich Yiran Chen H. Li AAML 50 38 0 28 Nov 2018
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 102 190 0 27 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 87 119 0 26 Nov 2018
Attention, Please! Adversarial Defense via Activation Rectification and Preservation Shangxi Wu Jitao Sang Kaiyuan Xu Jiaming Zhang Jian Yu AAML 52 7 0 24 Nov 2018
Strength in Numbers: Trading-off Robustness and Computation via Adversarially-Trained Ensembles Edward Grefenstette Robert Stanforth Brendan O'Donoghue J. Uesato G. Swirszcz Pushmeet Kohli AAML 80 18 0 22 Nov 2018
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces Ziv Katzir Yuval Elovici AAML 60 26 0 22 Nov 2018
Task-generalizable Adversarial Attack based on Perceptual Metric Muzammal Naseer Salman H. Khan Shafin Rahman Fatih Porikli AAML 73 40 0 22 Nov 2018
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples Hajime Ono Tsubasa Takahashi Kazuya Kakizaki AAML 49 4 0 20 Nov 2018
Generalizable Adversarial Training via Spectral Normalization Farzan Farnia Jesse M. Zhang David Tse OOD AAML 90 140 0 19 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 104 64 0 08 Nov 2018
CAAD 2018: Iterative Ensemble Adversarial Attack Jiayang Liu Weiming Zhang Nenghai Yu AAML 67 4 0 07 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks Yue Zhang Yizheng Chen Ahmed Abdou Mohsen Guizani AAML 43 23 0 06 Nov 2018
Exploring Connections Between Active Learning and Model Extraction Varun Chandrasekaran Kamalika Chaudhuri Irene Giacomelli Shane Walker Songbai Yan MIACV 259 159 0 05 Nov 2018
FUNN: Flexible Unsupervised Neural Network David Vigouroux Sylvaine Picard AAML OOD 62 0 0 05 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 108 22 0 03 Nov 2018
Unauthorized AI cannot Recognize Me: Reversible Adversarial Example Jiayang Liu Weiming Zhang Kazuto Fukuchi Youhei Akimoto Jun Sakuma AAML 83 30 0 01 Nov 2018
Improved Network Robustness with Adversary Critic Alexander Matyasko Lap-Pui Chau AAML 55 14 0 30 Oct 2018
Regularization Effect of Fast Gradient Sign Method and its Generalization Chandler Zuo AAML 30 8 0 27 Oct 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 120 79 0 25 Oct 2018
Robust Adversarial Learning via Sparsifying Front Ends S. Gopalakrishnan Zhinus Marzi Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 58 3 0 24 Oct 2018
Subset Scanning Over Neural Network Activations Skyler Speakman Srihari Sridharan S. Remy Komminist Weldemariam E. McFowland 56 10 0 19 Oct 2018
Exploring Adversarial Examples in Malware Detection Octavian Suciu Scott E. Coull Jeffrey Johns AAML 98 193 0 18 Oct 2018
Security Matters: A Survey on Adversarial Machine Learning Guofu Li Pengjia Zhu Jin Li Zhemin Yang Ning Cao Zhiyi Chen AAML 90 25 0 16 Oct 2018
Concise Explanations of Neural Networks using Adversarial Training P. Chalasani Jiefeng Chen Aravind Sadagopan S. Jha Xi Wu AAML FAtt 178 13 0 15 Oct 2018
Enhancing Stock Movement Prediction with Adversarial Training Fuli Feng Huimin Chen Xiangnan He Ji Ding Maosong Sun Tat-Seng Chua AAML AIFin OOD 45 4 0 13 Oct 2018
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators Alvaro Perez-Diaz E. Gerding F. McGroarty 70 4 0 12 Oct 2018
Is PGD-Adversarial Training Necessary? Alternative Training via a Soft-Quantization Network with Noisy-Natural Samples Only T. Zheng Changyou Chen K. Ren AAML 57 6 0 10 Oct 2018
The Adversarial Attack and Detection under the Fisher Information Metric Chenxiao Zhao P. T. Fletcher Mixue Yu Chaomin Shen Guixu Zhang Yaxin Peng AAML 76 47 0 09 Oct 2018