Black-box Adversarial Attacks with Limited Queries and Information

23 April 2018

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

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Title
EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks Yaguan Qian Qiqi Shao Jiamin Wang Xiangyuan Lin Yankai Guo Zhaoquan Gu Bin Wang Chunming Wu AAML 43 23 0 19 Sep 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Bo Li Kim Ji Eun Ding Zhao AAML 16 100 0 16 Sep 2020
Switching Transferable Gradient Directions for Query-Efficient Black-Box Adversarial Attacks Chen Ma Shuyu Cheng Li Chen Jun Zhu Junhai Yong AAML 12 7 0 15 Sep 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 37 13 0 15 Sep 2020
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses Ambar Pal René Vidal AAML 39 27 0 14 Sep 2020
Towards the Quantification of Safety Risks in Deep Neural Networks Peipei Xu Wenjie Ruan Xiaowei Huang 11 7 0 13 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Perceptual Deep Neural Networks: Adversarial Robustness through Input Recreation Danilo Vasconcellos Vargas Bingli Liao Takahiro Kanzaki AAML 19 3 0 02 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma L. Chen Junhai Yong MLAU OOD 41 17 0 02 Sep 2020
Adversarial Eigen Attack on Black-Box Models Linjun Zhou Peng Cui Yinan Jiang Shiqiang Yang AAML 14 12 0 27 Aug 2020
Adversarially Training for Audio Classifiers Raymel Alfonso Sallo Mohammad Esmaeilpour P. Cardinal AAML 17 8 0 26 Aug 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 24 51 0 20 Aug 2020
CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection Shengnan Hu Yang Zhang Sumit Laha A. Sharma H. Foroosh AAML 17 8 0 19 Aug 2020
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection Christian Scano Scott E. Coull Battista Biggio Giovanni Lagorio A. Armando Fabio Roli AAML 35 59 0 17 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 32 73 0 07 Aug 2020
Black-box Adversarial Sample Generation Based on Differential Evolution Junyu Lin Lei Xu Yingqi Liu Xinming Zhang AAML 20 35 0 30 Jul 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study Fatemeh Vakhshiteh A. Nickabadi Raghavendra Ramachandra AAML 28 16 0 22 Jul 2020
Robust Tracking against Adversarial Attacks Shuai Jia Chao Ma Yibing Song Xiaokang Yang AAML 28 48 0 20 Jul 2020
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources Yun-Yun Tsai Pin-Yu Chen Tsung-Yi Ho AAML MLAU BDL 18 95 0 17 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 37 419 0 16 Jul 2020
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels Wenjie Wan Zhaodi Zhang Yiwei Zhu Min Zhang Fu Song AAML 21 8 0 16 Jul 2020
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 19 66 0 15 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 32 138 0 14 Jul 2020
Simple and Efficient Hard Label Black-box Adversarial Attacks in Low Query Budget Regimes Satya Narayan Shukla Anit Kumar Sahu Devin Willmott J. Zico Kolter AAML 14 34 0 13 Jul 2020
Generating Adversarial Inputs Using A Black-box Differential Technique J. Matos Lucas C. Cordeiro Marcelo d’Amorim Xiaowei Huang AAML 8 0 0 10 Jul 2020
Black-box Adversarial Example Generation with Normalizing Flows H. M. Dolatabadi S. Erfani C. Leckie AAML 29 3 0 06 Jul 2020
Query-Free Adversarial Transfer via Undertrained Surrogates Chris Miller Soroush Vosoughi AAML 17 0 0 01 Jul 2020
Adversarial Example Games A. Bose Gauthier Gidel Hugo Berrard Andre Cianflone Pascal Vincent Simon Lacoste-Julien William L. Hamilton AAML GAN 38 51 0 01 Jul 2020
Orthogonal Deep Models As Defense Against Black-Box Attacks M. Jalwana Naveed Akhtar Bennamoun Ajmal Mian AAML 22 11 0 26 Jun 2020
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability Kaizhao Liang Jacky Y. Zhang Wei Ping Zhuolin Yang Oluwasanmi Koyejo Yangqiu Song AAML 38 25 0 25 Jun 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks Huiying Li Shawn Shan Emily Wenger Jiayun Zhang Haitao Zheng Ben Y. Zhao AAML 23 42 0 24 Jun 2020
Bit Error Robustness for Energy-Efficient DNN Accelerators David Stutz Nandhini Chandramoorthy Matthias Hein Bernt Schiele MQ 28 1 0 24 Jun 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 26 99 0 23 Jun 2020
RayS: A Ray Searching Method for Hard-label Adversarial Attack Jinghui Chen Quanquan Gu AAML 18 137 0 23 Jun 2020
Adversarial Attacks for Multi-view Deep Models Xuli Sun Shiliang Sun AAML 9 0 0 19 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 25 22 0 18 Jun 2020
AdvMind: Inferring Adversary Intent of Black-Box Attacks Ren Pang Xinyang Zhang S. Ji Xiapu Luo Ting Wang MLAU AAML 11 29 0 16 Jun 2020
Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution Yan Feng Baoyuan Wu Yanbo Fan Li Liu Zhifeng Li Shutao Xia AAML 32 6 0 15 Jun 2020
Convergence of adaptive algorithms for weakly convex constrained optimization Ahmet Alacaoglu Yura Malitsky V. Cevher 8 10 0 11 Jun 2020
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks Nataniel Ruiz Sarah Adel Bargal Stan Sclaroff AAML 20 11 0 11 Jun 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning Sijia Liu Pin-Yu Chen B. Kailkhura Gaoyuan Zhang A. Hero III P. Varshney 26 224 0 11 Jun 2020
Scalable Backdoor Detection in Neural Networks Haripriya Harikumar Vuong Le Santu Rana Sourangshu Bhattacharya Sunil R. Gupta Svetha Venkatesh 16 23 0 10 Jun 2020
Adversarial Attacks on Brain-Inspired Hyperdimensional Computing-Based Classifiers Fangfang Yang Shaolei Ren AAML 26 16 0 10 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Bo Li AAML 21 178 0 28 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 28 18 0 19 May 2020
Attacking Black-box Recommendations via Copying Cross-domain User Profiles Wenqi Fan Tyler Derr Xiangyu Zhao Yao Ma Hui Liu Jianping Wang Jiliang Tang Qing Li MLAU AAML 22 76 0 17 May 2020
Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data Lu Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh Yuan Jiang AAML 35 12 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 27 49 0 08 May 2020
MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation Sanjay Kariyappa A. Prakash Moinuddin K. Qureshi AAML 32 146 0 06 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 19 92 0 05 May 2020