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
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 44 22 0 12 Jan 2022
A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs Han Lu Zenan Li Runzhong Wang Qibing Ren Junchi Yan Xiaokang Yang AAML 28 0 0 28 Dec 2021
Adaptive Modeling Against Adversarial Attacks Zhiwen Yan Teck Khim Ng AAML 39 0 0 23 Dec 2021
Do You See What I See? Capabilities and Limits of Automated Multimedia Content Analysis Carey Shenkman Dhanaraj Thakur Emma Llansó 27 8 0 15 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 24 56 0 13 Dec 2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare Muchao Ye Junyu Luo Guanjie Zheng Cao Xiao Ting Wang Fenglong Ma AAML 35 3 0 11 Dec 2021
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 30 9 0 10 Dec 2021
Single-Shot Black-Box Adversarial Attacks Against Malware Detectors: A Causal Language Model Approach Junjie Hu Mohammadreza Ebrahimi Hsinchun Chen AAML 18 11 0 03 Dec 2021
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines Jiachen Sun Akshay Mehra B. Kailkhura Pin-Yu Chen Dan Hendrycks Jihun Hamm Z. Morley Mao AAML 41 21 0 01 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 27 3 0 30 Nov 2021
Adaptive Image Transformations for Transfer-based Adversarial Attack Zheng Yuan Jie Zhang Shiguang Shan OOD 26 25 0 27 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 40 66 0 18 Nov 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks Chen Ma Xiangyu Guo Li Chen Junhai Yong Yisen Wang AAML 31 15 0 15 Nov 2021
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 36 14 0 02 Nov 2021
Attacking Video Recognition Models with Bullet-Screen Comments Kai-xiang Chen Zhipeng Wei Jingjing Chen Zuxuan Wu Yu-Gang Jiang AAML 34 22 0 29 Oct 2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks Yonggan Fu Qixuan Yu Yang Zhang Shan-Hung Wu Ouyang Xu David D. Cox Yingyan Lin AAML OOD 33 29 0 26 Oct 2021
Boosting the Transferability of Video Adversarial Examples via Temporal Translation Zhipeng Wei Jingjing Chen Zuxuan Wu Yu-Gang Jiang AAML 31 31 0 18 Oct 2021
Adversarial Attack across Datasets Yunxiao Qin Yuanhao Xiong Jinfeng Yi Lihong Cao Cho-Jui Hsieh AAML 52 3 0 13 Oct 2021
On the Security Risks of AutoML Ren Pang Zhaohan Xi S. Ji Xiapu Luo Ting Wang AAML 27 10 0 12 Oct 2021
ZARTS: On Zero-order Optimization for Neural Architecture Search Xiaoxing Wang Wenxuan Guo Junchi Yan Jianlin Su Xiaokang Yang 19 23 0 10 Oct 2021
Adversarial Token Attacks on Vision Transformers Ameya Joshi Gauri Jagatap Chinmay Hegde ViT 30 19 0 08 Oct 2021
Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs Philipp Benz Soomin Ham Chaoning Zhang Adil Karjauv In So Kweon AAML ViT 52 79 0 06 Oct 2021
Adversarial Attacks on Black Box Video Classifiers: Leveraging the Power of Geometric Transformations Shasha Li Abhishek Aich Shitong Zhu Ulugbek S. Kamilov Chengyu Song Amit K. Roy-Chowdhury S. Krishnamurthy AAML 127 37 0 05 Oct 2021
Mitigating Black-Box Adversarial Attacks via Output Noise Perturbation Manjushree B. Aithal Xiaohua Li AAML 60 6 0 30 Sep 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks Kaleel Mahmood Rigel Mahmood Ethan Rathbun Marten van Dijk AAML 21 22 0 29 Sep 2021
Curvature-Aware Derivative-Free Optimization Bumsu Kim HanQin Cai Daniel McKenzie W. Yin ODL 40 10 0 27 Sep 2021
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors Zhengyi Wang Zhongkai Hao Ziqiao Wang Hang Su Jun Zhu AAML GNN 48 18 0 27 Sep 2021
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator Wenzhao Xiang Hang Su Chang-rui Liu Yandong Guo Shibao Zheng AAML 29 5 0 13 Sep 2021
2-in-1 Accelerator: Enabling Random Precision Switch for Winning Both Adversarial Robustness and Efficiency Yonggan Fu Yang Katie Zhao Qixuan Yu Chaojian Li Yingyan Lin AAML 52 12 0 11 Sep 2021
Energy Attack: On Transferring Adversarial Examples Ruoxi Shi Borui Yang Yangzhou Jiang Chenglong Zhao Bingbing Ni AAML 19 2 0 09 Sep 2021
Training Meta-Surrogate Model for Transferable Adversarial Attack Yunxiao Qin Yuanhao Xiong Jinfeng Yi Cho-Jui Hsieh AAML 25 18 0 05 Sep 2021
Recent advances for quantum classifiers Weikang Li D. Deng AAML 49 84 0 30 Aug 2021
Mal2GCN: A Robust Malware Detection Approach Using Deep Graph Convolutional Networks With Non-Negative Weights Omid Kargarnovin A. M. Sadeghzadeh R. Jalili AAML 29 7 0 27 Aug 2021
On Procedural Adversarial Noise Attack And Defense Jun Yan Xiaoyang Deng Huilin Yin Wancheng Ge AAML 22 2 0 10 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 27 44 0 03 Aug 2021
Feature Importance-aware Transferable Adversarial Attacks Peng Kuang Hengchang Guo Zhifei Zhang Wenxin Liu Zhan Qin K. Ren AAML 20 207 0 29 Jul 2021
Adversarial training may be a double-edged sword A. Rahmati Seyed-Mohsen Moosavi-Dezfooli H. Dai AAML 39 0 0 24 Jul 2021
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms Shuyu Cheng Guoqiang Wu Jun Zhu 17 15 0 21 Jul 2021
Examining the Human Perceptibility of Black-Box Adversarial Attacks on Face Recognition Benjamin Spetter-Goldstein Nataniel Ruiz Sarah Adel Bargal AAML 16 0 0 19 Jul 2021
EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks Andrei-Șerban Ilie Marius Popescu Alin Stefanescu AAML 48 6 0 12 Jul 2021
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems Shangyu Xie Han Wang Yu Kong Yuan Hong AAML 19 25 0 09 Jul 2021
Output Randomization: A Novel Defense for both White-box and Black-box Adversarial Models Daniel Park Haidar Khan Azer Khan Alex Gittens B. Yener AAML 24 1 0 08 Jul 2021
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients Alessandro Cappelli Julien Launay Laurent Meunier Ruben Ohana Iacopo Poli AAML 29 4 0 06 Jul 2021
On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving Takami Sato Qi Alfred Chen AAML ELM 40 6 0 06 Jul 2021
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning Mathias Löwe Jennifer Villareale Evan Freed Aleksanteri Sladek Jichen Zhu S. Risi AAML 36 5 0 05 Jul 2021
When and How to Fool Explainable Models (and Humans) with Adversarial Examples Jon Vadillo Roberto Santana Jose A. Lozano SILM AAML 38 12 0 05 Jul 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 27 28 0 30 Jun 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 41 275 0 29 Jun 2021
Multi-stage Optimization based Adversarial Training Xiaosen Wang Chuanbiao Song Liwei Wang Kun He AAML 22 5 0 26 Jun 2021
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations Sungmin Cha Naeun Ko Young Joon Yoo Taesup Moon AAML 28 2 0 22 Jun 2021