Attacks on Online Learners: a Teacher-Student Analysis
Authors: Riccardo Giuseppe Margiotta, Sebastian Goldt, Guido Sanguinetti | Published: 2023-05-18 | Updated: 2023-10-29
強化学習
ANALYSE — Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents
Authors: Thomas Wolgast, Nils Wenninghoff, Stephan Balduin, Eric Veith, Bastian Fraune, Torben Woltjen, Astrid Nieße | Published: 2023-04-21
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
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