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
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems Utku Ozbulak Baptist Vandersmissen A. Jalalvand Ivo Couckuyt Arnout Van Messem W. D. Neve AAML 13 18 0 26 Jan 2021
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles Jingkang Wang Ava Pun James Tu S. Manivasagam Abbas Sadat Sergio Casas Mengye Ren R. Urtasun 38 163 0 16 Jan 2021
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients Alessandro Cappelli Ruben Ohana Julien Launay Laurent Meunier Iacopo Poli Florent Krzakala AAML 69 13 0 06 Jan 2021
Local Black-box Adversarial Attacks: A Query Efficient Approach Tao Xiang Hangcheng Liu Shangwei Guo Tianwei Zhang X. Liao AAML MLAU 26 15 0 04 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 35 17 0 31 Dec 2020
Unadversarial Examples: Designing Objects for Robust Vision Hadi Salman Andrew Ilyas Logan Engstrom Sai H. Vemprala Aleksander Madry Ashish Kapoor WIGM 73 59 0 22 Dec 2020
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework Pranay Sharma Kaidi Xu Sijia Liu Pin-Yu Chen Xue Lin P. Varshney 14 2 0 21 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 46 122 0 21 Dec 2020
DSRNA: Differentiable Search of Robust Neural Architectures Ramtin Hosseini Xingyi Yang P. Xie OOD AAML 29 50 0 11 Dec 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples Yiwen Guo Qizhang Li Hao Chen FedML AAML 26 115 0 07 Dec 2020
Learning to Separate Clusters of Adversarial Representations for Robust Adversarial Detection Byunggill Joe Jihun Hamm Sung Ju Hwang Sooel Son I. Shin AAML OOD 44 0 0 07 Dec 2020
Practical No-box Adversarial Attacks against DNNs Qizhang Li Yiwen Guo Hao Chen AAML 21 57 0 04 Dec 2020
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks Giuseppe Ughi V. Abrol Jared Tanner AAML 21 13 0 03 Dec 2020
Boosting Adversarial Attacks on Neural Networks with Better Optimizer Heng Yin Hengwei Zhang Jin-dong Wang Ruiyu Dou AAML 35 8 0 01 Dec 2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption Ivan Evtimov Russ Howes Brian Dolhansky Hamed Firooz Cristian Canton Ferrer AAML 6 10 0 25 Nov 2020
SurFree: a fast surrogate-free black-box attack Thibault Maho Teddy Furon Erwan Le Merrer AAML 14 88 0 25 Nov 2020
On Adversarial Robustness of 3D Point Cloud Classification under Adaptive Attacks Jiachen Sun Karl Koenig Yulong Cao Qi Alfred Chen Z. Morley Mao 3DPC 23 20 0 24 Nov 2020
Adversarial collision attacks on image hashing functions Brian Dolhansky Cristian Canton Ferrer AAML 10 20 0 18 Nov 2020
Gradient Starvation: A Learning Proclivity in Neural Networks Mohammad Pezeshki Sekouba Kaba Yoshua Bengio Aaron Courville Doina Precup Guillaume Lajoie MLT 52 259 0 18 Nov 2020
Adversarial Turing Patterns from Cellular Automata Nurislam Tursynbek I. Vilkoviskiy Maria Sindeeva Ivan Oseledets AAML 14 4 0 18 Nov 2020
Self-Gradient Networks Hossein Aboutalebi M. Shafiee AAML 25 0 0 18 Nov 2020
Do Fine-tuned Commonsense Language Models Really Generalize? Mayank Kejriwal Ke Shen ELM LRM 24 10 0 18 Nov 2020
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks Maungmaung Aprilpyone Hitoshi Kiya FedML 27 1 0 16 Nov 2020
Fooling the primate brain with minimal, targeted image manipulation Li-xin Yuan Will Xiao Giorgia Dellaferrera Gabriel Kreiman Francis E. H. Tay Jiashi Feng Margaret Livingstone AAML 36 1 0 11 Nov 2020
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 44 14 0 06 Nov 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA Adnan Siraj Rakin Yukui Luo Xiaolin Xu Deliang Fan AAML 25 49 0 05 Nov 2020
A Black-Box Attack Model for Visually-Aware Recommender Systems Rami Cohen Oren Sar Shalom Dietmar Jannach A. Amir 20 28 0 05 Nov 2020
Adversarial Examples in Constrained Domains Ryan Sheatsley Nicolas Papernot Mike Weisman Gunjan Verma Patrick McDaniel AAML 18 23 0 02 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 34 1 0 02 Nov 2020
Integer Programming-based Error-Correcting Output Code Design for Robust Classification Samarth Gupta Saurabh Amin 11 4 0 30 Oct 2020
Deep Neural Mobile Networking Chaoyun Zhang 32 1 0 23 Oct 2020
Adversarial Attacks on Binary Image Recognition Systems Eric Balkanski Harrison W. Chase Kojin Oshiba Alexander Rilee Yaron Singer Richard Wang AAML 47 4 0 22 Oct 2020
An Efficient Adversarial Attack for Tree Ensembles Chong Zhang Huan Zhang Cho-Jui Hsieh AAML 16 23 0 22 Oct 2020
Defense-guided Transferable Adversarial Attacks Zifei Zhang Kai Qiao Jian Chen Ningning Liang AAML 19 0 0 22 Oct 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback Jiancheng Yang Yangzhou Jiang Xiaoyang Huang Bingbing Ni Chenglong Zhao AAML 18 81 0 21 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 39 48 0 19 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition Xinghao Yang Weifeng Liu Shengli Zhang Wei Liu Dacheng Tao AAML 27 28 0 09 Oct 2020
Gaussian MRF Covariance Modeling for Efficient Black-Box Adversarial Attacks Anit Kumar Sahu Satya Narayan Shukla J. Zico Kolter AAML 14 1 0 08 Oct 2020
A Unified Approach to Interpreting and Boosting Adversarial Transferability Xin Eric Wang Jie Ren Shuyu Lin Xiangming Zhu Yisen Wang Quanshi Zhang AAML 29 94 0 08 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 16 172 0 08 Oct 2020
Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu Jinghui Chen Deng Cai Xiaofei He Quanquan Gu AAML 14 95 0 03 Oct 2020
Efficient Robust Training via Backward Smoothing Jinghui Chen Yu Cheng Zhe Gan Quanquan Gu Jingjing Liu AAML 24 40 0 03 Oct 2020
CorrAttack: Black-box Adversarial Attack with Structured Search Zhichao Huang Yaowei Huang Tong Zhang AAML 16 8 0 03 Oct 2020
Query complexity of adversarial attacks Grzegorz Gluch R. Urbanke AAML 27 5 0 02 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 29 57 0 02 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 25 262 0 01 Oct 2020
Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability Ishai Rosenberg Shai Meir J. Berrebi I. Gordon Guillaume Sicard Eli David AAML SILM 11 25 0 28 Sep 2020
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence Chang Liao Yao Cheng Chengfang Fang Jie Shi 29 1 0 28 Sep 2020
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection Liang Gou Lincan Zou Nanxiang Li M. Hofmann A. Shekar A. Wendt Liu Ren 36 60 0 27 Sep 2020
Improving Query Efficiency of Black-box Adversarial Attack Yang Bai Yuyuan Zeng Yong Jiang Yisen Wang Shutao Xia Weiwei Guo AAML MLAU 45 52 0 24 Sep 2020