Deep Reinforcement Learning based Evasion Generative Adversarial Network for Botnet Detection
Authors: Rizwan Hamid Randhawa, Nauman Aslam, Mohammad Alauthman, Muhammad Khalid, Husnain Rafiq | Published: 2022-10-06
強化学習
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation
Authors: Qian Chen, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin | Published: 2022-06-08
Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection
Authors: Hooman Alavizadeh, Julian Jang-Jaccard, Hootan Alavizadeh | Published: 2021-11-27
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS
Authors: Christian Schroeder de Witt, Yongchao Huang, Philip H. S. Torr, Martin Strohmeier | Published: 2021-11-23
Enhancing the Insertion of NOP Instructions to Obfuscate Malware via Deep Reinforcement Learning
Authors: Daniel Gibert, Matt Fredrikson, Carles Mateu, Jordi Planes, Quan Le | Published: 2021-11-18
Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Authors: Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu | Published: 2021-06-08
Robust Deep Reinforcement Learning through Adversarial Loss
Authors: Tuomas Oikarinen, Wang Zhang, Alexandre Megretski, Luca Daniel, Tsui-Wei Weng | Published: 2020-08-05 | Updated: 2021-11-10
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Authors: Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein | Published: 2020-06-23 | Updated: 2022-02-08
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Authors: Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla | Published: 2020-03-28 | Updated: 2020-08-19
SparseIDS: Learning Packet Sampling with Reinforcement Learning
Authors: Maximilian Bachl, Fares Meghdouri, Joachim Fabini, Tanja Zseby | Published: 2020-02-10 | Updated: 2020-05-04