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Delving into Transferable Adversarial Examples and Black-box Attacks

8 November 2016

Papers citing "Delving into Transferable Adversarial Examples and Black-box Attacks"

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Title
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 128 73 0 26 Mar 2022
Enhancing Transferability of Adversarial Examples with Spatial Momentum Guoqiu Wang Huanqian Yan Xingxing Wei AAML 74 9 0 25 Mar 2022
An Intermediate-level Attack Framework on The Basis of Linear Regression Yiwen Guo Qizhang Li W. Zuo Hao Chen 99 14 0 21 Mar 2022
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input Junyoung Byun Seungju Cho Myung-Joon Kwon Heeseon Kim Changick Kim AAML DiffM 63 70 0 17 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 141 25 0 16 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 62 60 0 13 Mar 2022
Adversarial Texture for Fooling Person Detectors in the Physical World Zhan Hu Siyuan Huang Xiaopei Zhu Gang Hua Bo Zhang Xiaolin Hu AAML 77 108 0 07 Mar 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 92 13 0 26 Feb 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 117 68 0 17 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 105 16 0 15 Feb 2022
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark Yonghao Xu Pedram Ghamisi AAML 71 73 0 14 Feb 2022
EREBA: Black-box Energy Testing of Adaptive Neural Networks Mirazul Haque Yaswanth Yadlapalli Wei Yang Cong Liu AAML 51 11 0 12 Feb 2022
Open-set Adversarial Defense with Clean-Adversarial Mutual Learning Rui Shao Pramuditha Perera Pong C. Yuen Vishal M. Patel AAML 132 32 0 12 Feb 2022
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers Limin Yang Zhi Chen Jacopo Cortellazzi Feargus Pendlebury Kevin Tu Fabio Pierazzi Lorenzo Cavallaro Gang Wang AAML 111 37 0 11 Feb 2022
Gradient Methods Provably Converge to Non-Robust Networks Gal Vardi Gilad Yehudai Ohad Shamir 96 28 0 09 Feb 2022
Red Teaming Language Models with Language Models Ethan Perez Saffron Huang Francis Song Trevor Cai Roman Ring John Aslanides Amelia Glaese Nat McAleese G. Irving AAML 217 672 0 07 Feb 2022
Redactor: A Data-centric and Individualized Defense Against Inference Attacks Geon Heo Steven Euijong Whang AAML 49 2 0 07 Feb 2022
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders Tianshuo Cong Xinlei He Yang Zhang 92 55 0 27 Jan 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 167 67 0 27 Jan 2022
The Security of Deep Learning Defences for Medical Imaging Mosh Levy Guy Amit Yuval Elovici Yisroel Mirsky AAML MedIm 146 9 0 21 Jan 2022
Towards Transferable Unrestricted Adversarial Examples with Minimum Changes Fangcheng Liu Chaoning Zhang Hongyang R. Zhang AAML 88 21 0 04 Jan 2022
Adversarial Attack via Dual-Stage Network Erosion Yexin Duan Junhua Zou Xingyu Zhou Wu Zhang Jin Zhang Zhisong Pan AAML SILM 64 5 0 01 Jan 2022
Invertible Image Dataset Protection Kejiang Chen Xianhan Zeng Qichao Ying Sheng Li Zhenxing Qian Xinpeng Zhang 71 7 0 29 Dec 2021
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently Futa Waseda Sosuke Nishikawa Trung-Nghia Le H. Nguyen Isao Echizen SILM 94 37 0 29 Dec 2021
Associative Adversarial Learning Based on Selective Attack Runqi Wang Xiaoyue Duan Baochang Zhang Shenjun Xue Wentao Zhu David Doermann G. Guo AAML 72 0 0 28 Dec 2021
Understanding and Measuring Robustness of Multimodal Learning Nishant Vishwamitra Hongxin Hu Ziming Zhao Long Cheng Feng Luo AAML 86 5 0 22 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 92 62 0 13 Dec 2021
Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting Junhua Zou Zhisong Pan Junyang Qiu Xin Liu Ting Rui Wei Li 76 69 0 11 Dec 2021
Cross-Modal Transferable Adversarial Attacks from Images to Videos Zhipeng Wei Jingjing Chen Zuxuan Wu Yu-Gang Jiang AAML 85 42 0 10 Dec 2021
Learning to Learn Transferable Attack Shuman Fang Jie Li Xianming Lin Rongrong Ji AAML 101 21 0 10 Dec 2021
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit Viet Vo Ehsan Abbasnejad Damith C. Ranasinghe AAML 77 9 0 10 Dec 2021
Context-Aware Transfer Attacks for Object Detection Zikui Cai Xinxin Xie Shasha Li Mingjun Yin Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury M. Salman Asif AAML 81 28 0 06 Dec 2021
Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models Tochukwu Idika Ismail Akturk SILM AAML 40 0 0 03 Dec 2021
Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? Ayesha Siddique K. A. Hoque AAML 72 7 0 02 Dec 2021
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness Jia-Li Yin Lehui Xie Wanqing Zhu Ximeng Liu Bo-Hao Chen TTA AAML 66 4 0 01 Dec 2021
Adaptive Image Transformations for Transfer-based Adversarial Attack Zheng Yuan Jie Zhang Shiguang Shan OOD 89 27 0 27 Nov 2021
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS Christian Schroeder de Witt Yongchao Huang Philip Torr Martin Strohmeier AAML 68 3 0 23 Nov 2021
Medical Aegis: Robust adversarial protectors for medical images Qingsong Yao Zecheng He S. Kevin Zhou AAML MedIm 49 2 0 22 Nov 2021
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability Yifeng Xiong Jiadong Lin Min Zhang John E. Hopcroft Kun He AAML 123 114 0 21 Nov 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 71 69 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 80 16 0 15 Nov 2021
SUPER-Net: Trustworthy Medical Image Segmentation with Uncertainty Propagation in Encoder-Decoder Networks Giuseppina Carannante Dimah Dera Nidhal C.Bouaynaya Hassan M. Fathallah-Shaykh Ghulam Rasool UQCV AAML OOD 118 6 0 10 Nov 2021
Robust Learning via Ensemble Density Propagation in Deep Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya Lyudmila Mihaylova AAML MDE 61 5 0 10 Nov 2021
Sparse Adversarial Video Attacks with Spatial Transformations Ronghui Mu Wenjie Ruan Leandro Soriano Marcolino Q. Ni AAML 90 19 0 10 Nov 2021
On Quantitative Evaluations of Counterfactuals Frederik Hvilshoj Alexandros Iosifidis Ira Assent 68 10 0 30 Oct 2021
Towards Evaluating the Robustness of Neural Networks Learned by Transduction Jiefeng Chen Xi Wu Yang Guo Yingyu Liang S. Jha ELM AAML 92 15 0 27 Oct 2021
Disrupting Deep Uncertainty Estimation Without Harming Accuracy Ido Galil Ran El-Yaniv AAML 48 17 0 26 Oct 2021
Fast Gradient Non-sign Methods Yaya Cheng Jingkuan Song Xiaosu Zhu Qilong Zhang Lianli Gao Heng Tao Shen AAML 125 11 0 25 Oct 2021
CAPTIVE: Constrained Adversarial Perturbations to Thwart IC Reverse Engineering Amir Hosein Afandizadeh Zargari Marzieh Ashrafiamiri Minjun Seo Sai Manoj P D M. Fouda Fadi J. Kurdahi AAML 44 3 0 21 Oct 2021
Unrestricted Adversarial Attacks on ImageNet Competition YueFeng Chen Xiaofeng Mao Yuan He Hui Xue Chao Li ... Bingyang Fu Yunfei Zheng Yekui Wang Haorong Luo Zhen Yang AAML 44 10 0 17 Oct 2021