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
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness Pu Zhao Pin-Yu Chen Payel Das Karthikeyan N. Ramamurthy Xue Lin AAML 64 185 0 30 Apr 2020
Imitation Attacks and Defenses for Black-box Machine Translation Systems Eric Wallace Mitchell Stern D. Song AAML 27 120 0 30 Apr 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability Nathan Inkawhich Kevin J Liang Binghui Wang Matthew J. Inkawhich Lawrence Carin Yiran Chen AAML 19 86 0 29 Apr 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 9 0 0 24 Apr 2020
PatchAttack: A Black-box Texture-based Attack with Reinforcement Learning Chenglin Yang Adam Kortylewski Cihang Xie Yinzhi Cao Alan Yuille AAML 45 109 0 12 Apr 2020
Luring of transferable adversarial perturbations in the black-box paradigm Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML 31 2 0 10 Apr 2020
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model Dongdong Wang Yandong Li Liqiang Wang Boqing Gong 29 48 0 31 Mar 2020
Towards Deep Learning Models Resistant to Large Perturbations Amirreza Shaeiri Rozhin Nobahari M. Rohban OOD AAML 34 12 0 30 Mar 2020
Adversarial Imitation Attack Mingyi Zhou Jing Wu Yipeng Liu Xiaolin Huang Shuaicheng Liu Xiang Zhang Ce Zhu AAML 21 0 0 28 Mar 2020
DaST: Data-free Substitute Training for Adversarial Attacks Mingyi Zhou Jing Wu Yipeng Liu Shuaicheng Liu Ce Zhu 25 142 0 28 Mar 2020
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks Zain Khan Jirong Yi R. Mudumbai Xiaodong Wu Weiyu Xu AAML MLAU 22 1 0 26 Mar 2020
Adversarial Transferability in Wearable Sensor Systems Ramesh Kumar Sah H. Ghasemzadeh AAML 12 6 0 17 Mar 2020
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition C. Duong Thanh-Dat Truong Kha Gia Quach Hung Bui Kaushik Roy Khoa Luu CVBM 20 52 0 16 Mar 2020
GeoDA: a geometric framework for black-box adversarial attacks A. Rahmati Seyed-Mohsen Moosavi-Dezfooli P. Frossard H. Dai MLAU AAML 31 114 0 13 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 163 113 0 05 Mar 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers Hadi Salman Mingjie Sun Greg Yang Ashish Kapoor J. Zico Kolter 45 23 0 04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 72 63 0 02 Mar 2020
A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA Giuseppe Ughi V. Abrol Jared Tanner AAML 6 3 0 24 Feb 2020
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment Scott Freitas Shang-Tse Chen Zijie J. Wang Duen Horng Chau AAML 26 23 0 21 Feb 2020
Boosting Adversarial Training with Hypersphere Embedding Tianyu Pang Xiao Yang Yinpeng Dong Kun Xu Jun Zhu Hang Su AAML 33 154 0 20 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel A. Madry AAML 109 823 0 19 Feb 2020
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent Pu Zhao Pin-Yu Chen Siyue Wang X. Lin AAML 16 36 0 18 Feb 2020
GRAPHITE: Generating Automatic Physical Examples for Machine-Learning Attacks on Computer Vision Systems Ryan Feng Neal Mangaokar Jiefeng Chen Earlence Fernandes S. Jha Atul Prakash OOD AAML 14 10 0 17 Feb 2020
CAT: Customized Adversarial Training for Improved Robustness Minhao Cheng Qi Lei Pin-Yu Chen Inderjit Dhillon Cho-Jui Hsieh OOD AAML 35 114 0 17 Feb 2020
Adversarial Distributional Training for Robust Deep Learning Yinpeng Dong Zhijie Deng Tianyu Pang Hang Su Jun Zhu OOD 24 121 0 14 Feb 2020
Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu Yisen Wang Shutao Xia James Bailey Xingjun Ma AAML SILM 25 310 0 14 Feb 2020
Robustness of Bayesian Neural Networks to Gradient-Based Attacks Ginevra Carbone Matthew Wicker Luca Laurenti A. Patané Luca Bortolussi G. Sanguinetti AAML 38 77 0 11 Feb 2020
Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples Shehzeen Samarah Hussain Paarth Neekhara Malhar Jere F. Koushanfar Julian McAuley AAML 22 150 0 09 Feb 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 47 97 0 07 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 20 6 0 07 Feb 2020
Adversarial Training for Aspect-Based Sentiment Analysis with BERT Akbar Karimi L. Rossi Andrea Prati 215 99 0 30 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie Yang Xiaolin Huang AAML 31 104 0 16 Jan 2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning R. Schuster Tal Schuster Yoav Meri Vitaly Shmatikov AAML 6 38 0 14 Jan 2020
Sparse Black-box Video Attack with Reinforcement Learning Xingxing Wei Huanqian Yan Bo-wen Li AAML 31 49 0 11 Jan 2020
WAF-A-MoLE: Evading Web Application Firewalls through Adversarial Machine Learning Christian Scano Biagio Montaruli Gabriele Costa Giovanni Lagorio AAML 21 28 0 07 Jan 2020
Quantum Adversarial Machine Learning Sirui Lu L. Duan D. Deng AAML 26 100 0 31 Dec 2019
Adversarial Example Generation using Evolutionary Multi-objective Optimization Takahiro Suzuki Shingo Takeshita S. Ono AAML 19 22 0 30 Dec 2019
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 31 36 0 26 Dec 2019
DAmageNet: A Universal Adversarial Dataset Sizhe Chen Xiaolin Huang Zhengbao He Chengjin Sun AAML 37 9 0 16 Dec 2019
Amora: Black-box Adversarial Morphing Attack Run Wang Felix Juefei Xu Qing Guo Yihao Huang Xiaofei Xie Lei Ma Yang Liu AAML 12 44 0 09 Dec 2019
Scratch that! An Evolution-based Adversarial Attack against Neural Networks Malhar Jere Loris Rossi Briland Hitaj Gabriela F. Cretu-Ciocarlie Giacomo Boracchi F. Koushanfar AAML 14 18 0 05 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 20 79 0 03 Dec 2019
A Method for Computing Class-wise Universal Adversarial Perturbations Tejus Gupta Abhishek Sinha Nupur Kumari M. Singh Balaji Krishnamurthy AAML 6 10 0 01 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 10 964 0 29 Nov 2019
Attributional Robustness Training using Input-Gradient Spatial Alignment M. Singh Nupur Kumari Puneet Mangla Abhishek Sinha V. Balasubramanian Balaji Krishnamurthy OOD 29 10 0 29 Nov 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 15 14 0 28 Nov 2019
Identifying Model Weakness with Adversarial Examiner Michelle Shu Chenxi Liu Weichao Qiu Alan Yuille AAML ELM 27 19 0 25 Nov 2019
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction Yantao Lu Yunhan Jia Jianyu Wang Bai Li Weiheng Chai Lawrence Carin Senem Velipasalar AAML 24 81 0 22 Nov 2019
Heuristic Black-box Adversarial Attacks on Video Recognition Models Zhipeng Wei Jingjing Chen Xingxing Wei Linxi Jiang Tat-Seng Chua Fengfeng Zhou Yueping Jiang AAML 16 67 0 21 Nov 2019
Black-Box Adversarial Attack with Transferable Model-based Embedding Zhichao Huang Tong Zhang 19 118 0 17 Nov 2019