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

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

30 May 2018

Shin-Ming Cheng

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

15 / 215 papers shown

Title
Perceptual Quality-preserving Black-Box Attack against Deep Learning Image Classifiers Diego Gragnaniello Francesco Marra Giovanni Poggi L. Verdoliva AAML 65 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 199 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 324 943 0 18 Feb 2019
A Data-driven Adversarial Examples Recognition Framework via Adversarial Feature Genome Li Chen Qi Li Jiawei Zhu Jian Peng Haifeng Li AAML 149 3 0 25 Dec 2018
Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks T. Brunner Frederik Diehl Michael Truong-Le Alois Knoll MLAU AAML 124 123 0 24 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 194 145 0 29 Nov 2018
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks Jinghui Chen Dongruo Zhou Jinfeng Yi Quanquan Gu AAML 180 72 0 27 Nov 2018
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses T. A. Hogan B. Kailkhura AAML 86 10 0 09 Nov 2018
Low Frequency Adversarial PerturbationConference on Uncertainty in Artificial Intelligence (UAI), 2018 Chuan Guo Jared S. Frank Kilian Q. Weinberger AAML 198 182 0 24 Sep 2018
$Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR$ Is Ordered Weighted $\ell_1$ Regularized Regression Robust to Adversarial Perturbation? A Case Study on OSCAR Pin-Yu Chen B. Vinzamuri Sijia Liu AAML OOD 119 8 0 24 Sep 2018
Query-Efficient Black-Box Attack by Active Learning Pengcheng Li Jinfeng Yi Lijun Zhang AAML MLAU 93 58 0 13 Sep 2018
Towards Query Efficient Black-box Attacks: An Input-free Perspective Yali Du Meng Fang Jinfeng Yi Jun Cheng Dacheng Tao AAML 97 21 0 09 Sep 2018
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models D. Su Huan Zhang Hongge Chen Jinfeng Yi Pin-Yu Chen Yupeng Gao VLM 230 411 0 05 Aug 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 165 362 0 12 Jul 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 211 274 0 28 May 2018