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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"

50 / 928 papers shown

Title
Decompiling x86 Deep Neural Network Executables Zhibo Liu Yuanyuan Yuan Shuai Wang Xiaofei Xie Lei Ma AAML 85 15 0 03 Oct 2022
Robust Empirical Risk Minimization with Tolerance Robi Bhattacharjee Max Hopkins Akash Kumar Hantao Yu Kamalika Chaudhuri OOD 75 8 0 02 Oct 2022
DeltaBound Attack: Efficient decision-based attack in low queries regime L. Rossi AAML 78 0 0 01 Oct 2022
On the Adversarial Transferability of ConvMixer Models Ryota Iijima Miki Tanaka Isao Echizen Hitoshi Kiya AAML 60 2 0 19 Sep 2022
Robust Ensemble Morph Detection with Domain Generalization Hossein Kashiani S. Sami Sobhan Soleymani Nasser M. Nasrabadi OOD AAML 83 8 0 16 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 103 9 0 11 Sep 2022
Enhancing the Self-Universality for Transferable Targeted Attacks Zhipeng Wei Jingjing Chen Zuxuan Wu Yueping Jiang AAML 83 35 0 08 Sep 2022
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples Nuo Xu Kaleel Mahmood Haowen Fang Ethan Rathbun Caiwen Ding Wujie Wen AAML 104 13 0 07 Sep 2022
On the Transferability of Adversarial Examples between Encrypted Models Miki Tanaka Isao Echizen Hitoshi Kiya SILM 84 4 0 07 Sep 2022
Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System Zhendong Wang Xiaoming Zeng Xulong Tang Qiang Yan Xingbo Hu Yang Hu AAML MIACV FedML 43 6 0 29 Aug 2022
Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies Yinghua Zhang Yangqiu Song Kun Bai Qian Yang AAML 65 1 0 28 Aug 2022
SA: Sliding attack for synthetic speech detection with resistance to clipping and self-splicing JiaCheng Deng Dong Li Yan Diqun Rangding Wang Zeng Jiaming AAML 60 0 0 27 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 69 2 0 18 Aug 2022
An Efficient Multi-Step Framework for Malware Packing Identification Jong-Wouk Kim Yang-Sae Moon Mi-Jung Choi 23 0 0 17 Aug 2022
Blackbox Attacks via Surrogate Ensemble Search Zikui Cai Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury M. Salman Asif AAML 108 21 0 07 Aug 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 100 32 0 18 Jul 2022
Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training Xiaoyu Liang Yaguan Qian Jianchang Huang Xiang Ling Bin Wang Chunming Wu Wassim Swaileh AAML 45 4 0 16 Jul 2022
Exploring Adversarial Examples and Adversarial Robustness of Convolutional Neural Networks by Mutual Information Jiebao Zhang Wenhua Qian Ren-qi Nie Jinde Cao Dan Xu GAN AAML 61 0 0 12 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long Qi-li Zhang Boheng Zeng Lianli Gao Xianglong Liu Jian Zhang Jingkuan Song AAML 103 167 0 12 Jul 2022
Jacobian Norm with Selective Input Gradient Regularization for Improved and Interpretable Adversarial Defense Deyin Liu Lin Wu Haifeng Zhao F. Boussaïd Bennamoun Xianghua Xie AAML 75 3 0 09 Jul 2022
Online Evasion Attacks on Recurrent Models:The Power of Hallucinating the Future Byunggill Joe I. Shin Jihun Hamm AAML 22 0 0 08 Jul 2022
Adversarial Ensemble Training by Jointly Learning Label Dependencies and Member Models Lele Wang B. Liu UQCV 57 5 0 29 Jun 2022
Transferable Graph Backdoor Attack Shuiqiao Yang Bao Gia Doan Paul Montague O. Vel Tamas Abraham S. Çamtepe Damith C. Ranasinghe S. Kanhere AAML 96 39 0 21 Jun 2022
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System Jiaming Zhang Qiaomin Yi Dongyuan Lu Jitao Sang PICV AAML CVBM 32 5 0 19 Jun 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 83 5 0 16 Jun 2022
Early Transferability of Adversarial Examples in Deep Neural Networks Oriel BenShmuel AAML 34 0 0 09 Jun 2022
Meet You Halfway: Explaining Deep Learning Mysteries Oriel BenShmuel AAML FedML FAtt OOD 56 0 0 09 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 99 19 0 07 Jun 2022
Vanilla Feature Distillation for Improving the Accuracy-Robustness Trade-Off in Adversarial Training Guodong Cao Peng Kuang Xiaowei Dong Zhifei Zhang Hengchang Guo Zhan Qin Kui Ren AAML 41 2 0 05 Jun 2022
The Importance of Image Interpretation: Patterns of Semantic Misclassification in Real-World Adversarial Images Zhengyu Zhao Nga Dang Martha Larson 48 0 0 03 Jun 2022
FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 79 0 0 02 Jun 2022
Searching for the Essence of Adversarial Perturbations Dennis Y. Menn Tzu-hsun Feng Hung-yi Lee AAML 26 1 0 30 May 2022
Transferable Adversarial Attack based on Integrated Gradients Yunpeng Huang A. Kong AAML 85 54 0 26 May 2022
OPOM: Customized Invisible Cloak towards Face Privacy Protection Yaoyao Zhong Weihong Deng PICV 80 34 0 24 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 75 11 0 21 May 2022
Gradient Concealment: Free Lunch for Defending Adversarial Attacks Sen Pei Jiaxi Sun Xiaopeng Zhang Gaofeng Meng AAML 65 0 0 21 May 2022
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World Xiaopei Zhu Zhan Hu Siyuan Huang Jianmin Li Xiaolin Hu AAML 67 56 0 12 May 2022
Structural Extensions of Basis Pursuit: Guarantees on Adversarial Robustness Dávid Szeghy Mahmoud Aslan Á. Fóthi Balázs Mészáros Z. '. Milacski András Lőrincz AAML 44 0 0 05 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 89 7 0 05 May 2022
Optimizing One-pixel Black-box Adversarial Attacks Tianxun Zhou Shubhanka Agrawal Prateek Manocha AAML MLAU 55 3 0 30 Apr 2022
Adversarial Fine-tune with Dynamically Regulated Adversary Peng-Fei Hou Ming Zhou Jie Han Petr Musílek Xingyu Li AAML 56 3 0 28 Apr 2022
Improving the Transferability of Adversarial Examples with Restructure Embedded Patches Huipeng Zhou Yu-an Tan Yajie Wang Haoran Lyu Shan-Hung Wu Yuan-zhang Li ViT 60 4 0 27 Apr 2022
Enhancing the Transferability via Feature-Momentum Adversarial Attack Xianglong He Yuezun Li Haipeng Qu Junyu Dong AAML 31 1 0 22 Apr 2022
Sardino: Ultra-Fast Dynamic Ensemble for Secure Visual Sensing at Mobile Edge Qun Song Zhenyu Yan W. Luo Rui Tan AAML 44 2 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 105 19 0 07 Apr 2022
Sampling-based Fast Gradient Rescaling Method for Highly Transferable Adversarial Attacks Xuechun Han Anmin Liu Yifeng Xiong Yanbo Fan Kun He AAML 79 5 0 06 Apr 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 85 43 0 30 Mar 2022
Zero-Query Transfer Attacks on Context-Aware Object Detectors Zikui Cai S. Rane Alejandro E. Brito Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury M. Salman Asif AAML 65 22 0 29 Mar 2022
Adversarial Representation Sharing: A Quantitative and Secure Collaborative Learning Framework Jikun Chen Feng Qiang Na Ruan FedML 41 2 0 27 Mar 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations Yifan Gong Yuguang Yao Yize Li Yimeng Zhang Xiaoming Liu Xinyu Lin Sijia Liu AAML 172 21 0 26 Mar 2022