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Black-box Adversarial Attacks with Limited Queries and Information

International Conference on Machine Learning (ICML), 2018

23 April 2018

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

50 / 682 papers shown

Title
Distributed Black-box Attack: Do Not Overestimate Black-box Attacks Han-Ching Wu Sareh Rowlands Johan Wahlstrom MLAU AAML 315 1 0 28 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 235 6 0 19 Oct 2022
Object-Attentional Untargeted Adversarial AttackJournal of Information Security and Applications (JISA), 2022 Chao Zhou Yuan-Gen Wang Guopu Zhu AAML 123 4 0 16 Oct 2022
Is Face Recognition Safe from Realizable Attacks? Sanjay Saha Terence Sim CVBM AAML 122 3 0 15 Oct 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial PerturbationNeural Information Processing Systems (NeurIPS), 2022 Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 183 103 0 12 Oct 2022
Robust Models are less Over-ConfidentNeural Information Processing Systems (NeurIPS), 2022 Julia Grabinski Paul Gavrikov J. Keuper Margret Keuper AAML 224 28 0 12 Oct 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?Neural Information Processing Systems (NeurIPS), 2022 Nikolaos Tsilivis Julia Kempe AAML 202 23 0 11 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution PerspectiveIEEE Transactions on Image Processing (IEEE TIP), 2022 Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 152 69 0 09 Oct 2022
Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning SystemsInternational Conference on Machine Learning (ICML), 2022 Chawin Sitawarin Florian Tramèr Nicholas Carlini AAML 252 9 0 07 Oct 2022
On the Robustness of Deep Clustering Models: Adversarial Attacks and DefensesNeural Information Processing Systems (NeurIPS), 2022 Anshuman Chhabra Ashwin Sekhari P. Mohapatra OOD AAML 239 10 0 04 Oct 2022
Towards Lightweight Black-Box Attacks against Deep Neural Networks Chenghao Sun Yonggang Zhang Chaoqun Wan Qizhou Wang Ya Li Tongliang Liu Bo Han Xinmei Tian AAML MLAU 212 5 0 29 Sep 2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data Jiaqi Xue Lei Xu Lin Chen W. Shi Kaidi Xu Qian Lou AAML 148 5 0 20 Sep 2022
Understanding Real-world Threats to Deep Learning Models in Android AppsConference on Computer and Communications Security (CCS), 2022 Zizhuang Deng Kai Chen Guozhu Meng Xiaodong Zhang Ke Xu Yao Cheng AAML 217 34 0 20 Sep 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Yaning Tan Yichao Wu Ding Liang XiangLong Liu Aishan Liu 106 11 0 15 Sep 2022
Vec2Face-v2: Unveil Human Faces from their Blackbox Features via Attention-based Network in Face Recognition Thanh-Dat Truong C. Duong Ngan Le Marios Savvides Khoa Luu CVBM 194 11 0 11 Sep 2022
The Space of Adversarial Strategies Ryan Sheatsley Blaine Hoak Eric Pauley Patrick McDaniel AAML 154 6 0 09 Sep 2022
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary StrategiesInternational Conference on Information and Knowledge Management (CIKM), 2022 Yinghua Zhang Yangqiu Song Kun Bai Qian Yang AAML 130 1 0 28 Aug 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries Dongbin Na Sangwoo Ji Jong Kim AAML 211 27 0 24 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 251 2 0 18 Aug 2022
An Efficient Multi-Step Framework for Malware Packing Identification Jong-Wouk Kim Yang-Sae Moon Mi-Jung Choi 78 0 0 17 Aug 2022
Online Learning for Non-monotone Submodular Maximization: From Full Information to Bandit Feedback Qixin Zhang Zengde Deng Zaiyi Chen Kuangqi Zhou Haoyuan Hu Yu Yang 165 7 0 16 Aug 2022
Unifying Gradients to Improve Real-world Robustness for Deep NetworksACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Yingwen Wu Sizhe Chen Kun Fang Xiaolin Huang AAML 191 4 0 12 Aug 2022
Diverse Generative Perturbations on Attention Space for Transferable Adversarial AttacksInternational Conference on Information Photonics (ICIP), 2022 Woo Jae Kim Seunghoon Hong Sung-eui Yoon AAML 194 14 0 11 Aug 2022
Blackbox Attacks via Surrogate Ensemble SearchNeural Information Processing Systems (NeurIPS), 2022 Zikui Cai Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury M. Salman Asif AAML 291 25 0 07 Aug 2022
Robust Real-World Image Super-Resolution against Adversarial AttacksACM Multimedia (MM), 2021 N. Babaguchi John R. Smith Pengxu Wei T. Plagemann Rong Yan AAML 239 26 0 31 Jul 2022
DIMBA: Discretely Masked Black-Box Attack in Single Object TrackingMachine-mediated learning (ML), 2022 Xiangyu Yin Wenjie Ruan J. Fieldsend AAML 171 34 0 17 Jul 2022
Interactive Machine Learning: A State of the Art Review Natnael A. Wondimu Cédric Buche U. Visser VLM HAI 248 12 0 13 Jul 2022
One-shot Neural Backdoor Erasing via Adversarial Weight MaskingNeural Information Processing Systems (NeurIPS), 2022 Shuwen Chai Jinghui Chen AAML 210 43 0 10 Jul 2022
Query-Efficient Adversarial Attack Based on Latin Hypercube SamplingInternational Conference on Information Photonics (ICIP), 2022 Daniel Wang Jiayu Lin Yuansheng Wang AAML 155 6 0 05 Jul 2022
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial ExamplesIEEE Transactions on Network and Service Management (IEEE TNSM), 2022 Giovanni Apruzzese Rodion Vladimirov A.T. Tastemirova Pavel Laskov AAML 222 18 0 04 Jul 2022
On the amplification of security and privacy risks by post-hoc explanations in machine learning models Pengrui Quan Supriyo Chakraborty J. Jeyakumar Mani B. Srivastava MIACV AAML 134 9 0 28 Jun 2022
Increasing Confidence in Adversarial Robustness EvaluationsNeural Information Processing Systems (NeurIPS), 2022 Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 171 20 0 28 Jun 2022
RSTAM: An Effective Black-Box Impersonation Attack on Face Recognition using a Mobile and Compact Printer Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML CVBM 153 7 0 25 Jun 2022
On the Role of Generalization in Transferability of Adversarial ExamplesConference on Uncertainty in Artificial Intelligence (UAI), 2022 Yilin Wang Farzan Farnia AAML 155 11 0 18 Jun 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian OptimizationInternational Conference on Machine Learning (ICML), 2022 Deokjae Lee Seungyong Moon Junhyeok Lee Hyun Oh Song AAML 178 47 0 17 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark KnowledgeIEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2022 Dingcheng Yang Zihao Xiao Wenjian Yu AAML 188 15 0 16 Jun 2022
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 175 3 0 08 Jun 2022
Improving Adversarial Robustness by Putting More Regularizations on Less Robust SamplesInternational Conference on Machine Learning (ICML), 2022 Dongyoon Yang Insung Kong Yongdai Kim OOD AAML 293 14 0 07 Jun 2022
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition SystemsIEEE Transactions on Dependable and Secure Computing (TDSC), 2022 Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Yang Liu AAML 142 21 0 07 Jun 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial AttackACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022 Zeyu Dai Shengcai Liu Jiaheng Zhang Qing Li AAML 191 16 0 04 Jun 2022
Transferable Adversarial Attack based on Integrated GradientsInternational Conference on Learning Representations (ICLR), 2022 Yunpeng Huang A. Kong AAML 157 69 0 26 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query AttacksNeural Information Processing Systems (NeurIPS), 2022 Sizhe Chen Zhehao Huang Qinghua Tao Yingwen Wu Cihang Xie Xiaolin Huang AAML 358 30 0 24 May 2022
Squeeze Training for Adversarial RobustnessInternational Conference on Learning Representations (ICLR), 2022 Qizhang Li Yiwen Guo W. Zuo Hao Chen OOD 220 18 0 23 May 2022
On Trace of PGD-Like Adversarial AttacksInternational Conference on Pattern Recognition (ICPR), 2022 Mo Zhou Vishal M. Patel AAML 244 4 0 19 May 2022
Gradient Aligned Attacks via a Few Queries Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 158 0 0 19 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical GuaranteesComputer Vision and Pattern Recognition (CVPR), 2022 Binghui Wang Youqin Li Pan Zhou AAML 135 17 0 07 May 2022
Optimizing One-pixel Black-box Adversarial Attacks Tianxun Zhou Shubhanka Agrawal Prateek Manocha AAML MLAU 96 3 0 30 Apr 2022
Smart App Attack: Hacking Deep Learning Models in Android AppsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Yujin Huang Chunyang Chen FedML AAML 162 23 0 23 Apr 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 193 5 0 20 Apr 2022
Adversarial Scratches: Deployable Attacks to CNN ClassifiersPattern Recognition (Pattern Recogn.), 2022 Loris Giulivi Malhar Jere Loris Rossi F. Koushanfar Gabriela F. Cretu-Ciocarlie Briland Hitaj Giacomo Boracchi AAML 186 23 0 20 Apr 2022