Black-box Adversarial Attacks with Limited Queries and Information

23 April 2018

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

50 / 651 papers shown

Title
Increasing Confidence in Adversarial Robustness Evaluations Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 36 16 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 28 5 0 25 Jun 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 24 10 0 18 Jun 2022
Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization Deokjae Lee Seungyong Moon Junhyeok Lee Hyun Oh Song AAML 20 38 0 17 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 30 5 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 19 2 0 08 Jun 2022
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples Dongyoon Yang Insung Kong Yongdai Kim OOD AAML 13 9 0 07 Jun 2022
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Yang Liu AAML 27 18 0 07 Jun 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack Zeyu Dai Shengcai Liu Ke Tang Qing Li AAML 24 11 0 04 Jun 2022
Transferable Adversarial Attack based on Integrated Gradients Y. Huang A. Kong AAML 35 50 0 26 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen Zhehao Huang Qinghua Tao Yingwen Wu Cihang Xie X. Huang AAML 110 28 0 24 May 2022
Squeeze Training for Adversarial Robustness Qizhang Li Yiwen Guo W. Zuo Hao Chen OOD 34 9 0 23 May 2022
On Trace of PGD-Like Adversarial Attacks Mo Zhou Vishal M. Patel AAML 27 4 0 19 May 2022
Gradient Aligned Attacks via a Few Queries Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 35 0 0 19 May 2022
Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees Binghui Wang Youqin Li Pan Zhou AAML 26 13 0 07 May 2022
Optimizing One-pixel Black-box Adversarial Attacks Tianxun Zhou Shubhanka Agrawal Prateek Manocha AAML MLAU 19 3 0 30 Apr 2022
Smart App Attack: Hacking Deep Learning Models in Android Apps Yujin Huang Chunyang Chen FedML AAML 15 21 0 23 Apr 2022
Backdooring Explainable Machine Learning Maximilian Noppel Lukas Peter Christian Wressnegger AAML 16 5 0 20 Apr 2022
Adversarial Scratches: Deployable Attacks to CNN Classifiers Loris Giulivi Malhar Jere Loris Rossi F. Koushanfar Gabriela F. Cretu-Ciocarlie B. Hitaj Giacomo Boracchi AAML 20 18 0 20 Apr 2022
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval Xunguang Wang Yinqun Lin X. Li AAML GAN 12 7 0 18 Apr 2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings Yuhao Mao Chong Fu Sai-gang Wang S. Ji Xuhong Zhang Zhenguang Liu Junfeng Zhou A. Liu R. Beyah Ting Wang AAML 27 18 0 07 Apr 2022
DST: Dynamic Substitute Training for Data-free Black-box Attack Wenxuan Wang Xuelin Qian Yanwei Fu Xiangyang Xue OOD AAML 11 17 0 03 Apr 2022
Scalable Whitebox Attacks on Tree-based Models Giuseppe Castiglione G. Ding Masoud Hashemi C. Srinivasa Ga Wu AAML 13 1 0 31 Mar 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 45 129 0 31 Mar 2022
Investigating Top- $k$ White-Box and Transferable Black-box Attack Chaoning Zhang Philipp Benz Adil Karjauv Jae-Won Cho Kang Zhang In So Kweon 31 42 0 30 Mar 2022
StyleFool: Fooling Video Classification Systems via Style Transfer Yu Cao Xi Xiao Ruoxi Sun Derui Wang Minhui Xue Sheng Wen AAML 8 25 0 30 Mar 2022
Boosting Black-Box Adversarial Attacks with Meta Learning Junjie Fu Jian-jun Sun Chongqing AAML 17 4 0 28 Mar 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 15 33 0 27 Mar 2022
Origins of Low-dimensional Adversarial Perturbations Elvis Dohmatob Chuan Guo Morgane Goibert AAML 38 4 0 25 Mar 2022
An Intermediate-level Attack Framework on The Basis of Linear Regression Yiwen Guo Qizhang Li W. Zuo Hao Chen 41 13 0 21 Mar 2022
Towards Robust 2D Convolution for Reliable Visual Recognition Lida Li Shuai Li Kun Wang Xiangchu Feng Lei Zhang 19 1 0 18 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 19 24 0 16 Mar 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? Y. Fu Shunyao Zhang Shan-Hung Wu Cheng Wan Yingyan Lin AAML 23 64 0 16 Mar 2022
Generating Practical Adversarial Network Traffic Flows Using NIDSGAN B. Zolbayar Ryan Sheatsley Patrick D. McDaniel Mike Weisman Sencun Zhu Shitong Zhu S. Krishnamurthy GAN AAML 17 14 0 13 Mar 2022
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior Yinpeng Dong Shuyu Cheng Tianyu Pang Hang Su Jun Zhu AAML 19 57 0 13 Mar 2022
Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon Yiqi Zhong Xianming Liu Deming Zhai Junjun Jiang Xiangyang Ji AAML 28 146 0 08 Mar 2022
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art P. Williams Ke Li AAML 24 2 0 07 Mar 2022
Enhancing Adversarial Robustness for Deep Metric Learning Mo Zhou Vishal M. Patel AAML 22 18 0 02 Mar 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 16 5 0 15 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 41 16 0 15 Feb 2022
EREBA: Black-box Energy Testing of Adaptive Neural Networks Mirazul Haque Yaswanth Yadlapalli Wei Yang Cong Liu AAML 6 10 0 12 Feb 2022
On the Detection of Adaptive Adversarial Attacks in Speaker Verification Systems Zesheng Chen AAML 16 8 0 11 Feb 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 22 1 0 07 Feb 2022
Pixle: a fast and effective black-box attack based on rearranging pixels Jary Pomponi Simone Scardapane A. Uncini AAML 14 31 0 04 Feb 2022
Learnability Lock: Authorized Learnability Control Through Adversarial Invertible Transformations Weiqi Peng Jinghui Chen AAML 16 5 0 03 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models Viet Vo Ehsan Abbasnejad D. Ranasinghe AAML 22 14 0 31 Jan 2022
Boundary Defense Against Black-box Adversarial Attacks Manjushree B. Aithal Xiaohua Li AAML 17 6 0 31 Jan 2022
MEGA: Model Stealing via Collaborative Generator-Substitute Networks Chi Hong Jiyue Huang L. Chen 19 2 0 31 Jan 2022
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection Siyuan Liang Baoyuan Wu Yanbo Fan Xingxing Wei Xiaochun Cao AAML 22 70 0 22 Jan 2022
Black-box Prompt Learning for Pre-trained Language Models Shizhe Diao Zhichao Huang Ruijia Xu Xuechun Li Yong Lin Xiao Zhou Tong Zhang VLM AAML 28 68 0 21 Jan 2022