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AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks

30 May 2018

Papers citing "AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks"

50 / 215 papers shown

Title
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing FlowsNeural Information Processing Systems (NeurIPS), 2020 H. M. Dolatabadi S. Erfani C. Leckie AAML 220 67 0 15 Jul 2020
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget RegimesKnowledge Discovery and Data Mining (KDD), 2020 Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML 83 36 0 13 Jul 2020
Generating Adversarial Inputs Using A Black-box Differential Technique J. Matos Lucas C. Cordeiro Marcelo d’Amorim Xiaowei Huang AAML 62 0 0 10 Jul 2020
Query-Free Adversarial Transfer via Undertrained Surrogates Chris Miller Soroush Vosoughi AAML 55 0 0 01 Jul 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Damien Scieur William L. Hamilton AAML GAN 171 55 0 01 Jul 2020
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Zhongxiang Dai Yizhou Chen K. H. Low Patrick Jaillet Teck-Hua Ho 120 28 0 30 Jun 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box AttacksUSENIX Security Symposium (USENIX Security), 2020 Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 165 50 0 24 Jun 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacksAAAI Conference on Artificial Intelligence (AAAI), 2020 Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 202 119 0 23 Jun 2020
Beware the Black-Box: on the Robustness of Recent Defenses to Adversarial Examples Kaleel Mahmood Deniz Gurevin Marten van Dijk Phuong Ha Nguyen AAML 111 25 0 18 Jun 2020
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks Nataniel Ruiz Sarah Adel Bargal Stan Sclaroff AAML 91 11 0 11 Jun 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine LearningIEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2020 Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 226 278 0 11 Jun 2020
Adversarial Attacks on Brain-Inspired Hyperdimensional Computing-Based Classifiers Fangfang Yang Shaolei Ren AAML 88 17 0 10 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox AttackComputer Vision and Pattern Recognition (CVPR), 2020 Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Yue Liu AAML 206 194 0 28 May 2020
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data Lu Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh Yuan Jiang AAML 129 11 0 11 May 2020
Projection & Probability-Driven Black-Box Attack Jie Li Rongrong Ji Hong Liu Jianzhuang Liu Bineng Zhong Cheng Deng Q. Tian AAML 98 52 0 08 May 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 188 165 0 06 May 2020
RAIN: A Simple Approach for Robust and Accurate Image Classification Networks Jiawei Du Hanshu Yan Vincent Y. F. Tan Qiufeng Wang Rick Siow Mong Goh Jiashi Feng AAML 56 0 0 24 Apr 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement LearningEuropean Conference on Computer Vision (ECCV), 2020 Chenglin Yang Adam Kortylewski Cihang Xie Yinzhi Cao Alan Yuille AAML 153 122 0 12 Apr 2020
Luring of transferable adversarial perturbations in the black-box paradigm Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML 80 2 0 10 Apr 2020
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks Zain Khan Xiaodong Wu R. Mudumbai Xiaodong Wu Weiyu Xu AAML MLAU 84 1 0 26 Mar 2020
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization Jiaxiang Li Krishnakumar Balasubramanian Shiqian Ma 136 5 0 25 Mar 2020
GeoDA: a geometric framework for black-box adversarial attacksComputer Vision and Pattern Recognition (CVPR), 2020 A. Rahmati Seyed-Mohsen Moosavi-Dezfooli P. Frossard H. Dai MLAU AAML 181 126 0 13 Mar 2020
A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA Giuseppe Ughi V. Abrol Jared Tanner AAML 88 3 0 24 Feb 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient DescentAAAI Conference on Artificial Intelligence (AAAI), 2020 Pu Zhao Pin-Yu Chen Siyue Wang Xinyu Lin AAML 134 40 0 18 Feb 2020
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification Meet P. Vadera Satya Narayan Shukla B. Jalaeian Benjamin M. Marlin AAML BDL 60 6 0 07 Feb 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement LearningIEEE Transactions on Artificial Intelligence (IEEE TAI), 2020 Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 219 166 0 27 Jan 2020
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 214 88 0 03 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point CloudsEuropean Conference on Computer Vision (ECCV), 2019 Abdullah Hamdi Sara Rojas Ali K. Thabet Guohao Li AAML 3DPC 223 153 0 01 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random searchEuropean Conference on Computer Vision (ECCV), 2019 Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 431 1,115 0 29 Nov 2019
Heuristic Black-box Adversarial Attacks on Video Recognition ModelsAAAI Conference on Artificial Intelligence (AAAI), 2019 Zhipeng Wei Jingjing Chen Xingxing Wei Linxi Jiang Tat-Seng Chua Fengfeng Zhou Yueping Jiang AAML 130 78 0 21 Nov 2019
Black-Box Adversarial Attack with Transferable Model-based EmbeddingInternational Conference on Learning Representations (ICLR), 2019 Zhichao Huang Tong Zhang 133 123 0 17 Nov 2019
Learning to Learn by Zeroth-Order OracleInternational Conference on Learning Representations (ICLR), 2019 Yangjun Ruan Yuanhao Xiong Sashank J. Reddi Sanjiv Kumar Cho-Jui Hsieh 105 20 0 21 Oct 2019
A New Defense Against Adversarial Images: Turning a Weakness into a StrengthNeural Information Processing Systems (NeurIPS), 2019 Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 162 108 0 16 Oct 2019
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box OptimizationNeural Information Processing Systems (NeurIPS), 2019 Xiangyi Chen Sijia Liu Kaidi Xu Xingguo Li Xue Lin Mingyi Hong David Cox ODL 152 123 0 15 Oct 2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies Laurent Meunier Cen Chen Li Wang MLAU AAML 166 42 0 05 Oct 2019
Black-box Adversarial Attacks with Bayesian Optimization Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML MLAU 104 33 0 30 Sep 2019
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML Sijia Liu Songtao Lu Xiangyi Chen Yao Feng Kaidi Xu Abdullah Al-Dujaili Mingyi Hong Una-May Obelilly 216 26 0 30 Sep 2019
Sign-OPT: A Query-Efficient Hard-label Adversarial AttackInternational Conference on Learning Representations (ICLR), 2019 Minhao Cheng Simranjit Singh Patrick H. Chen Pin-Yu Chen Sijia Liu Cho-Jui Hsieh AAML 360 240 0 24 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 87 1 0 10 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 263 92 0 19 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 220 56 0 26 Jul 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 173 289 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 82 8 0 14 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 135 115 0 11 Jun 2019
Making targeted black-box evasion attacks effective and efficient Mika Juuti B. Atli Nadarajah Asokan AAML MIACV MLAU 73 9 0 08 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 85 86 0 06 Jun 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 229 19 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 192 636 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 151 145 0 16 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 161 70 0 01 May 2019