Adversarial Attacks and Defences: A Survey

28 September 2018

Papers citing "Adversarial Attacks and Defences: A Survey"

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Title
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems I. Aliyu Sélinde Van Engelenburg Muhammed Muazu Jinsul Kim C. Lim AAML 41 14 0 11 Jul 2022
Certifiably Robust Policy Learning against Adversarial Communication in Multi-agent Systems Yanchao Sun Ruijie Zheng Parisa Hassanzadeh Yongyuan Liang S. Feizi Sumitra Ganesh Furong Huang AAML 31 10 0 21 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 41 36 0 21 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 15 1 0 31 May 2022
Problem-Space Evasion Attacks in the Android OS: a Survey Harel Berger Chen Hajaj A. Dvir 25 2 0 29 May 2022
SoK: On the Semantic AI Security in Autonomous Driving Junjie Shen Ningfei Wang Ziwen Wan Yunpeng Luo Takami Sato ... Zhenyu Zhong Kang Li Ziming Zhao Chunming Qiao Qi Alfred Chen AAML 23 40 0 10 Mar 2022
Defending Black-box Skeleton-based Human Activity Classifiers He Wang Yunfeng Diao Zichang Tan G. Guo AAML 51 10 0 09 Mar 2022
Improving Health Mentioning Classification of Tweets using Contrastive Adversarial Training Pervaiz Iqbal Khan Shoaib Ahmed Siddiqui Imran Razzak Andreas Dengel Sheraz Ahmed 21 3 0 03 Mar 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 24 5 0 15 Feb 2022
Deadwooding: Robust Global Pruning for Deep Neural Networks Sawinder Kaur Ferdinando Fioretto Asif Salekin 19 4 0 10 Feb 2022
Distributionally Robust Fair Principal Components via Geodesic Descents Hieu Vu Toan M. Tran Man-Chung Yue Viet Anh Nguyen 19 14 0 07 Feb 2022
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World Hua Ma Yinshan Li Yansong Gao A. Abuadbba Zhi-Li Zhang Anmin Fu Hyoungshick Kim S. Al-Sarawi N. Surya Derek Abbott 21 34 0 21 Jan 2022
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 37 21 0 12 Jan 2022
Robust Natural Language Processing: Recent Advances, Challenges, and Future Directions Marwan Omar Soohyeon Choi Daehun Nyang David A. Mohaisen 32 57 0 03 Jan 2022
Financial Vision Based Differential Privacy Applications Jun-Hao Chen Yi-Jen Wang Yun-Cheng Tsai Samuel Yen-Chi Chen FedML 21 1 0 28 Dec 2021
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping B. Ghavami Seyd Movi Zhenman Fang Lesley Shannon AAML 40 9 0 25 Dec 2021
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art Xiang Ling Lingfei Wu Jiangyu Zhang Zhenqing Qu Wei Deng ... Chunming Wu S. Ji Tianyue Luo Jingzheng Wu Yanjun Wu AAML 34 73 0 23 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 39 55 0 05 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
Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks Maksym Yatsura J. H. Metzen Matthias Hein OOD 26 14 0 02 Nov 2021
Trustworthy AI: From Principles to Practices Bo-wen Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 119 356 0 04 Oct 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest Gilad Cohen Raja Giryes AAML 35 4 0 16 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
Imbalanced Adversarial Training with Reweighting Wentao Wang Han Xu Xiaorui Liu Yaxin Li B. Thuraisingham Jiliang Tang 37 16 0 28 Jul 2021
Improved Text Classification via Contrastive Adversarial Training Lin Pan Chung-Wei Hang Avirup Sil Saloni Potdar AAML 26 86 0 21 Jul 2021
Adversarial Attack for Uncertainty Estimation: Identifying Critical Regions in Neural Networks Ismail Alarab S. Prakoonwit AAML 27 14 0 15 Jul 2021
Model Transferability With Responsive Decision Subjects Yatong Chen Zeyu Tang Kun Zhang Yang Liu 41 10 0 13 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 104 196 0 12 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 23 71 0 04 Jul 2021
The Threat of Offensive AI to Organizations Yisroel Mirsky Ambra Demontis J. Kotak Ram Shankar Deng Gelei Liu Yang Xinming Zhang Wenke Lee Yuval Elovici Battista Biggio 33 81 0 30 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 15 56 0 07 Jun 2021
Ensemble-in-One: Learning Ensemble within Random Gated Networks for Enhanced Adversarial Robustness Yi Cai Xuefei Ning Huazhong Yang Yu Wang AAML 27 4 0 27 Mar 2021
Black-box Detection of Backdoor Attacks with Limited Information and Data Yinpeng Dong Xiao Yang Zhijie Deng Tianyu Pang Zihao Xiao Hang Su Jun Zhu AAML 21 112 0 24 Mar 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
Towards Robust and Reliable Algorithmic Recourse Sohini Upadhyay Shalmali Joshi Himabindu Lakkaraju 25 108 0 26 Feb 2021
Technical Report -- Expected Exploitability: Predicting the Development of Functional Vulnerability Exploits Octavian Suciu Connor Nelson Zhuo Lyu Tiffany Bao Tudor Dumitras 8 36 0 15 Feb 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 32 23 0 15 Feb 2021
Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS Felix O. Olowononi D. Rawat Chunmei Liu 34 132 0 14 Feb 2021
Adversarial Attack on Network Embeddings via Supervised Network Poisoning Viresh Gupta Tanmoy Chakraborty AAML 36 12 0 14 Feb 2021
Exacerbating Algorithmic Bias through Fairness Attacks Ninareh Mehrabi Muhammad Naveed Fred Morstatter Aram Galstyan AAML 28 67 0 16 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 35 48 0 14 Dec 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack Xiaoyi Dong Dongdong Chen Jianmin Bao Chuan Qin Lu Yuan Weiming Zhang Nenghai Yu Dong Chen AAML 18 63 0 26 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 18 40 0 25 Oct 2020
Global Optimization of Objective Functions Represented by ReLU Networks Christopher A. Strong Haoze Wu Aleksandar Zeljić Kyle D. Julian Guy Katz Clark W. Barrett Mykel J. Kochenderfer AAML 17 33 0 07 Oct 2020
Query complexity of adversarial attacks Grzegorz Gluch R. Urbanke AAML 19 5 0 02 Oct 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version) Gautam Raj Mode K. A. Hoque AAML 14 17 0 21 Sep 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo-wen Li AAML 33 128 0 09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 156 0 08 Sep 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 18 3 0 07 Aug 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 12 33 0 16 Jul 2020