Adversarial Machine Learning In Network Intrusion Detection Domain: A Systematic Review
Authors: Huda Ali Alatwi, Charles Morisset | Published: 2021-12-06
敵対的攻撃検出
Availability Attacks Create Shortcuts
Authors: Da Yu, Huishuai Zhang, Wei Chen, Jian Yin, Tie-Yan Liu | Published: 2021-11-01 | Updated: 2022-06-02
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems
Authors: Jindi Zhang, Yifan Zhang, Kejie Lu, Jianping Wang, Kui Wu, Xiaohua Jia, Bin Liu | Published: 2021-10-20
Adversarial Examples Detection with Bayesian Neural Network
Authors: Yao Li, Tongyi Tang, Cho-Jui Hsieh, Thomas C. M. Lee | Published: 2021-05-18 | Updated: 2024-02-23
Real-time Detection of Practical Universal Adversarial Perturbations
Authors: Kenneth T. Co, Luis Muñoz-González, Leslie Kanthan, Emil C. Lupu | Published: 2021-05-16 | Updated: 2021-05-22
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining
Authors: Łukasz Korycki, Bartosz Krawczyk | Published: 2020-09-20
Robust Deep Learning Ensemble against Deception
Authors: Wenqi Wei, Ling Liu | Published: 2020-09-14
Adversary Agnostic Robust Deep Reinforcement Learning
Authors: Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun | Published: 2020-08-14 | Updated: 2020-12-24
Trace-Norm Adversarial Examples
Authors: Ehsan Kazemi, Thomas Kerdreux, Liqiang Wang | Published: 2020-07-02
Defensive Approximation: Securing CNNs using Approximate Computing
Authors: Amira Guesmi, Ihsen Alouani, Khaled Khasawneh, Mouna Baklouti, Tarek Frikha, Mohamed Abid, Nael Abu-Ghazaleh | Published: 2020-06-13 | Updated: 2021-07-29