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

Title
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2019 Sekitoshi Kanai Yasutoshi Ida Yasuhiro Fujiwara Masanori Yamada S. Adachi AAML 137 1 0 19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A ReviewInternational Journal of Automation and Computing (IJAC), 2019 Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Shucheng Zhou Anil K. Jain AAML 315 726 0 17 Sep 2019
White-Box Adversarial Defense via Self-Supervised Data Estimation Zudi Lin Hanspeter Pfister Ziming Zhang AAML 138 2 0 13 Sep 2019
Sparse and Imperceivable Adversarial AttacksIEEE International Conference on Computer Vision (ICCV), 2019 Francesco Croce Matthias Hein AAML 194 219 0 11 Sep 2019
Universal Physical Camouflage Attacks on Object DetectorsComputer Vision and Pattern Recognition (CVPR), 2019 Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan Yuille C. Zou Ning Liu AAML 275 197 0 10 Sep 2019
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection Byunggill Joe Sung Ju Hwang I. Shin AAML 81 2 0 10 Sep 2019
BOSH: An Efficient Meta Algorithm for Decision-based Attacks Zhenxin Xiao Puyudi Yang Yuchen Eleanor Jiang Kai-Wei Chang Cho-Jui Hsieh AAML 189 1 0 10 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information Yiren Zhao Ilia Shumailov Han Cui Xitong Gao Robert D. Mullins Ross J. Anderson AAML 191 34 0 06 Sep 2019
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited QueriesUSENIX Security Symposium (USENIX Security), 2019 Fnu Suya Jianfeng Chi David Evans Yuan Tian AAML 406 94 0 19 Aug 2019
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition SystemsAsia-Pacific Computer Systems Architecture Conference (APCSAC), 2019 Lea Schonherr Thorsten Eisenhofer Steffen Zeiler Thorsten Holz D. Kolossa AAML 355 70 0 05 Aug 2019
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination DetectionUSENIX Security Symposium (USENIX Security), 2019 Di Tang Luyi Xing Haixu Tang Kehuan Zhang AAML 183 230 0 02 Aug 2019
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting MethodIEEE International Conference on Computer Vision (ICCV), 2019 Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 307 57 0 26 Jul 2019
Stateful Detection of Black-Box Adversarial Attacks Steven Chen Nicholas Carlini D. Wagner AAML MLAU 179 135 0 12 Jul 2019
Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine TransformationsInternational Workshop on Metamorphic Testing (IWMT), 2019 R. Mekala Gudjon Magnusson Adam A. Porter Mikael Lindvall Madeline Diep AAML 59 18 0 10 Jul 2019
Diminishing the Effect of Adversarial Perturbations via Refining Feature Representation Nader Asadi Amirm. Sarfi Mehrdad Hosseinzadeh Sahba Tahsini M. Eftekhari AAML 118 2 0 01 Jul 2019
Hiding Faces in Plain Sight: Disrupting AI Face Synthesis with Adversarial Perturbations Yuezun Li Xin Yang Baoyuan Wu Siwei Lyu AAML PICV CVBM 165 42 0 21 Jun 2019
Convergence of Adversarial Training in Overparametrized Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 Ruiqi Gao Tianle Cai Haochuan Li Liwei Wang Cho-Jui Hsieh Jason D. Lee AAML 276 114 0 19 Jun 2019
The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks F. Assion Peter Schlicht Florens Greßner W. Günther Fabian Hüger Nico M. Schmidt Umair Rasheed AAML 132 16 0 17 Jun 2019
Improving Black-box Adversarial Attacks with a Transfer-based PriorNeural Information Processing Systems (NeurIPS), 2019 Shuyu Cheng Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 185 294 0 17 Jun 2019
Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial AttacksComputer Vision and Pattern Recognition (CVPR), 2019 T. Brunner Frederik Diehl Alois Knoll AAML 143 8 0 14 Jun 2019
Evolutionary Trigger Set Generation for DNN Black-Box Watermarking Jiabao Guo M. Potkonjak AAML WIGM 164 17 0 11 Jun 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box AttacksNeural Information Processing Systems (NeurIPS), 2019 Ziang Yan Yiwen Guo Changshui Zhang AAML 163 118 0 11 Jun 2019
Robustness Verification of Tree-based ModelsNeural Information Processing Systems (NeurIPS), 2019 Hongge Chen Huan Zhang Si Si Yang Li Duane S. Boning Cho-Jui Hsieh AAML 215 87 0 10 Jun 2019
Attacking Graph Convolutional Networks via Rewiring Yao Ma Suhang Wang Tyler Derr Lingfei Wu Shucheng Zhou AAML GNN 157 89 0 10 Jun 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial AttacksNeural Information Processing Systems (NeurIPS), 2019 Maksym Andriushchenko Matthias Hein 187 66 0 08 Jun 2019
ML-LOO: Detecting Adversarial Examples with Feature AttributionAAAI Conference on Artificial Intelligence (AAAI), 2019 Puyudi Yang Jianbo Chen Cho-Jui Hsieh Jane-ling Wang Sai Li AAML 157 112 0 08 Jun 2019
Making targeted black-box evasion attacks effective and efficient Mika Juuti B. Atli Nadarajah Asokan AAML MIACV MLAU 97 9 0 08 Jun 2019
Robust Attacks against Multiple Classifiers Juan C. Perdomo Yaron Singer AAML 142 11 0 06 Jun 2019
Query-efficient Meta Attack to Deep Neural NetworksInternational Conference on Learning Representations (ICLR), 2019 Jiawei Du Hu Zhang Qiufeng Wang Yi Yang Jiashi Feng AAML 177 86 0 06 Jun 2019
Enhancing Transformation-based Defenses using a Distribution Classifier C. Kou H. Lee E. Chang Teck Khim Ng 153 4 0 01 Jun 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2019 Haohan Wang Xindi Wu Pengcheng Yin Eric Xing 368 614 0 28 May 2019
Thwarting finite difference adversarial attacks with output randomization Haidar Khan Daniel Park Azer Khan B. Yener SILM AAML 122 0 0 23 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer DomainIEEE Transactions on Dependable and Secure Computing (TDSC), 2019 Lei Bu Yuchao Duan Fu Song Zhe Zhao AAML 357 21 0 19 May 2019
Simple Black-box Adversarial AttacksInternational Conference on Machine Learning (ICML), 2019 Chuan Guo Jacob R. Gardner Yurong You A. Wilson Kilian Q. Weinberger AAML 341 655 0 17 May 2019
Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial OptimizationInternational Conference on Machine Learning (ICML), 2019 Seungyong Moon Gaon An Hyun Oh Song AAML MLAU 239 148 0 16 May 2019
Enhancing Cross-task Transferability of Adversarial Examples with Dispersion Reduction Yunhan Jia Yantao Lu Senem Velipasalar Zhenyu Zhong Tao Wei AAML 150 12 0 08 May 2019
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples Vikash Sehwag A. Bhagoji Liwei Song Chawin Sitawarin Daniel Cullina M. Chiang Prateek Mittal OODD 193 26 0 05 May 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural NetworksInternational Conference on Machine Learning (ICML), 2019 Yandong Li Lijun Li Liqiang Wang Tong Zhang Boqing Gong AAML 238 261 0 01 May 2019
Gradient-free activation maximization for identifying effective stimuli Will Xiao Gabriel Kreiman 70 11 0 01 May 2019
POBA-GA: Perturbation Optimized Black-Box Adversarial Attacks via Genetic AlgorithmComputers & security (Comput. Secur.), 2019 Jinyin Chen Mengmeng Su Shijing Shen Hui Xiong Haibin Zheng AAML 205 71 0 01 May 2019
Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers Ameya Joshi Amitangshu Mukherjee Soumik Sarkar Chinmay Hegde AAML 228 108 0 17 Apr 2019
Black-box Adversarial Attacks on Video Recognition Models Linxi Jiang Jiabo He Shaoxiang Chen James Bailey Yu-Gang Jiang AAML MLAU 203 160 0 10 Apr 2019
Efficient Decision-based Black-box Adversarial Attacks on Face Recognition Yinpeng Dong Hang Su Baoyuan Wu Zhifeng Li Wen Liu Tong Zhang Jun Zhu CVBM AAML 210 446 0 09 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Sai Li Martin J. Wainwright AAML 468 755 0 03 Apr 2019
Adversarial Robustness vs Model Compression, or Both? Shaokai Ye Kaidi Xu Sijia Liu Jan-Henrik Lambrechts Huan Zhang Aojun Zhou Kaisheng Ma Yanzhi Wang Xue Lin AAML 277 172 0 29 Mar 2019
Adversarial Out-domain Examples for Generative Models Dario Pasquini Marco Mingione M. Bernaschi WIGM SILM AAML 112 6 0 07 Mar 2019
Defense Against Adversarial Images using Web-Scale Nearest-Neighbor SearchComputer Vision and Pattern Recognition (CVPR), 2019 Abhimanyu Dubey Laurens van der Maaten Zeki Yalniz Shouqing Yang D. Mahajan AAML 222 66 0 05 Mar 2019
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers Diego Gragnaniello Francesco Marra Giovanni Poggi L. Verdoliva AAML 133 32 0 20 Feb 2019
There are No Bit Parts for Sign Bits in Black-Box Attacks Abdullah Al-Dujaili Una-May O’Reilly AAML 303 22 0 19 Feb 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 425 955 0 18 Feb 2019