Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,599 papers shown

Title
Fooling Network Interpretation in Image Classification Akshayvarun Subramanya Vipin Pillai Hamed Pirsiavash AAML FAtt 9 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 13 0 0 06 Dec 2018
On Configurable Defense against Adversarial Example Attacks Bo Luo Min Li Yu Li Q. Xu AAML 16 1 0 06 Dec 2018
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications Abdullah Hamdi Matthias Muller Guohao Li AAML 32 26 0 05 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 30 169 0 03 Dec 2018
Effects of Loss Functions And Target Representations on Adversarial Robustness Sean Saito S. Roy AAML 19 7 0 01 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 25 76 0 30 Nov 2018
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 69 264 0 30 Nov 2018
Adversarial Examples as an Input-Fault Tolerance Problem A. Galloway A. Golubeva Graham W. Taylor SILM AAML 14 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 110 138 0 29 Nov 2018
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers Nathan Inkawhich Matthew J. Inkawhich Yiran Chen H. Li AAML 19 38 0 28 Nov 2018
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 24 189 0 27 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 32 118 0 26 Nov 2018
Attention, Please! Adversarial Defense via Activation Rectification and Preservation Shangxi Wu Jitao Sang Kaiyuan Xu Jiaming Zhang Jian Yu AAML 6 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 36 18 0 22 Nov 2018
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces Ziv Katzir Yuval Elovici AAML 16 26 0 22 Nov 2018
Task-generalizable Adversarial Attack based on Perceptual Metric Muzammal Naseer Salman H. Khan Shafin Rahman Fatih Porikli AAML 21 39 0 22 Nov 2018
Lightweight Lipschitz Margin Training for Certified Defense against Adversarial Examples Hajime Ono Tsubasa Takahashi Kazuya Kakizaki AAML 16 4 0 20 Nov 2018
Generalizable Adversarial Training via Spectral Normalization Farzan Farnia Jesse M. Zhang David Tse OOD AAML 45 138 0 19 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 29 64 0 08 Nov 2018
CAAD 2018: Iterative Ensemble Adversarial Attack Jiayang Liu Weiming Zhang Nenghai Yu AAML 30 4 0 07 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks Yue Zhang Yizheng Chen Ahmed Abdou Mohsen Guizani AAML 27 23 0 06 Nov 2018
Exploring Connections Between Active Learning and Model Extraction Varun Chandrasekaran Kamalika Chaudhuri Irene Giacomelli Shane Walker Songbai Yan MIACV 14 157 0 05 Nov 2018
FUNN: Flexible Unsupervised Neural Network David Vigouroux Sylvaine Picard AAML OOD 8 0 0 05 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 21 22 0 03 Nov 2018
Unauthorized AI cannot Recognize Me: Reversible Adversarial Example Jiayang Liu Weiming Zhang Kazuto Fukuchi Youhei Akimoto Jun Sakuma AAML 30 28 0 01 Nov 2018
Improved Network Robustness with Adversary Critic Alexander Matyasko Lap-Pui Chau AAML 21 14 0 30 Oct 2018
Regularization Effect of Fast Gradient Sign Method and its Generalization Chandler Zuo AAML 8 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 33 78 0 25 Oct 2018
Robust Adversarial Learning via Sparsifying Front Ends S. Gopalakrishnan Zhinus Marzi Metehan Cekic Upamanyu Madhow Ramtin Pedarsani AAML 25 3 0 24 Oct 2018
Subset Scanning Over Neural Network Activations Skyler Speakman Srihari Sridharan S. Remy Komminist Weldemariam E. McFowland 19 10 0 19 Oct 2018
Exploring Adversarial Examples in Malware Detection Octavian Suciu Scott E. Coull Jeffrey Johns AAML 29 189 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 26 24 0 16 Oct 2018
Concise Explanations of Neural Networks using Adversarial Training P. Chalasani Jiefeng Chen Aravind Sadagopan S. Jha Xi Wu AAML FAtt 23 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 12 4 0 13 Oct 2018
Catching Cheats: Detecting Strategic Manipulation in Distributed Optimisation of Electric Vehicle Aggregators Alvaro Perez-Diaz E. Gerding F. McGroarty 13 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 20 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 28 47 0 09 Oct 2018
Efficient Two-Step Adversarial Defense for Deep Neural Networks Ting-Jui Chang Yukun He Peng Li AAML 25 11 0 08 Oct 2018
Combinatorial Attacks on Binarized Neural Networks Elias Boutros Khalil Amrita Gupta B. Dilkina AAML 49 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 25 90 0 08 Oct 2018
Feature Prioritization and Regularization Improve Standard Accuracy and Adversarial Robustness Chihuang Liu J. JáJá AAML 18 12 0 04 Oct 2018
Improved Generalization Bounds for Adversarially Robust Learning Idan Attias A. Kontorovich Yishay Mansour 27 17 0 04 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 33 49 0 02 Oct 2018
Improving the Generalization of Adversarial Training with Domain Adaptation Chuanbiao Song Kun He Liwei Wang J. Hopcroft AAML OOD 28 131 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 24 171 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 22 67 0 30 Sep 2018
Training Machine Learning Models by Regularizing their Explanations A. Ross FaML 26 0 0 29 Sep 2018
Adversarial Attacks and Defences: A Survey Anirban Chakraborty Manaar Alam Vishal Dey Anupam Chattopadhyay Debdeep Mukhopadhyay AAML OOD 23 675 0 28 Sep 2018
Neural Networks with Structural Resistance to Adversarial Attacks Luca de Alfaro AAML 14 5 0 25 Sep 2018