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Black-box Adversarial Attacks with Limited Queries and Information

International Conference on Machine Learning (ICML), 2018

23 April 2018

Papers citing "Black-box Adversarial Attacks with Limited Queries and Information"

33 / 683 papers shown

Title
The Efficacy of SHIELD under Different Threat Models Cory Cornelius Nilaksh Das Shang-Tse Chen Li Chen Michael E. Kounavis Duen Horng Chau AAML 171 11 0 01 Feb 2019
Robustness Certificates Against Adversarial Examples for ReLU Networks Sahil Singla Soheil Feizi AAML 134 21 0 01 Feb 2019
Black Box Submodular Maximization: Discrete and Continuous Settings Lin Chen Mingrui Zhang Hamed Hassani Amin Karbasi 160 17 0 28 Jan 2019
Weighted-Sampling Audio Adversarial Example Attack Xiaolei Liu Xiaosong Zhang Kun Wan Qingxin Zhu Yufei Ding DiffM AAML 212 39 0 26 Jan 2019
Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification L. G. Hafemann R. Sabourin Luiz Eduardo Soares de Oliveira AAML 114 50 0 10 Jan 2019
Adversarial CAPTCHAs Chenghui Shi Xiaohan Li S. Ji Kai Bu Jianhai Chen Jiliang Li Ting Wang AAML 127 56 0 04 Jan 2019
Hessian-Aware Zeroth-Order Optimization for Black-Box Adversarial Attack Haishan Ye Zhichao Huang Cong Fang C. J. Li Tong Zhang AAML 200 39 0 29 Dec 2018
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks T. Brunner Frederik Diehl Michael Truong-Le Alois Knoll MLAU AAML 173 124 0 24 Dec 2018
Towards resilient machine learning for ransomware detection Li-Wei Chen Chih-Yuan Yang Anindya Paul R. Sahita AAML 116 22 0 21 Dec 2018
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 259 595 0 06 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 564 301 0 03 Dec 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 275 145 0 29 Nov 2018
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks Jinghui Chen Dongruo Zhou Jinfeng Yi Quanquan Gu AAML 259 75 0 27 Nov 2018
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies Bao Wang Binjie Yuan Zuoqiang Shi Stanley J. Osher AAML OOD 137 15 0 26 Nov 2018
A note on hyperparameters in black-box adversarial examples Jamie Hayes AAML MLAU 45 0 0 15 Nov 2018
Mathematical Analysis of Adversarial Attacks Zehao Dou Stanley J. Osher Bao Wang AAML 107 19 0 15 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine LearningConference on Computer and Communications Security (CCS), 2018 K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 231 65 0 08 Nov 2018
Attack Graph Convolutional Networks by Adding Fake Nodes Xiaoyun Wang Minhao Cheng Joe Eaton Cho-Jui Hsieh S. F. Wu AAML GNN 299 83 0 25 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 153 94 0 08 Oct 2018
Can Adversarially Robust Learning Leverage Computational Hardness? Saeed Mahloujifar Mohammad Mahmoody AAML OOD 124 49 0 02 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 204 49 0 02 Oct 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 254 181 0 01 Oct 2018
Low Frequency Adversarial PerturbationConference on Uncertainty in Artificial Intelligence (UAI), 2018 Chuan Guo Jared S. Frank Kilian Q. Weinberger AAML 230 186 0 24 Sep 2018
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization Bao Wang A. Lin Weizhi Zhu Penghang Yin Andrea L. Bertozzi Stanley J. Osher AAML 116 21 0 23 Sep 2018
Towards Query Efficient Black-box Attacks: An Input-free Perspective Yali Du Meng Fang Jinfeng Yi Jun Cheng Dacheng Tao AAML 141 21 0 09 Sep 2018
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding Lea Schonherr Katharina Kohls Steffen Zeiler Thorsten Holz D. Kolossa AAML 167 306 0 16 Aug 2018
Prior Convictions: Black-Box Adversarial Attacks with Bandits and PriorsInternational Conference on Learning Representations (ICLR), 2018 Andrew Ilyas Logan Engstrom Aleksander Madry MLAU AAML 297 405 0 20 Jul 2018
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach Minhao Cheng Thong Le Pin-Yu Chen Jinfeng Yi Huan Zhang Cho-Jui Hsieh AAML 221 366 0 12 Jul 2018
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks Chun-Chen Tu Pai-Shun Ting Pin-Yu Chen Sijia Liu Huan Zhang Jinfeng Yi Cho-Jui Hsieh Shin-Ming Cheng MLAU AAML 295 429 0 30 May 2018
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization M. Alzantot Yash Sharma Supriyo Chakraborty Huan Zhang Cho-Jui Hsieh Mani B. Srivastava AAML 299 278 0 28 May 2018
Towards the first adversarially robust neural network model on MNIST Lukas Schott Jonas Rauber Matthias Bethge Wieland Brendel AAML OOD 311 380 0 23 May 2018
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers Ishai Rosenberg A. Shabtai Yuval Elovici Lior Rokach AAML 263 11 0 23 Apr 2018
Detecting Adversarial Examples via Neural Fingerprinting Sumanth Dathathri Stephan Zheng Tianwei Yin Richard M. Murray Yisong Yue MLAU AAML 160 0 0 11 Mar 2018