Adversarial Attacks on Reinforcement Learning based Energy Management Systems of Extended Range Electric Delivery Vehicles
Authors: Pengyue Wang, Yan Li, Shashi Shekhar, William F. Northrop | Published: 2020-06-01
深層強化学習
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Authors: Inaam Ilahi, Muhammad Usama, Junaid Qadir, Muhammad Umar Janjua, Ala Al-Fuqaha, Dinh Thai Hoang, Dusit Niyato | Published: 2020-01-27 | Updated: 2021-09-08
Massif: Interactive Interpretation of Adversarial Attacks on Deep Learning
Authors: Nilaksh Das, Haekyu Park, Zijie J. Wang, Fred Hohman, Robert Firstman, Emily Rogers, Duen Horng Chau | Published: 2020-01-21 | Updated: 2020-02-16
Pelican: A Deep Residual Network for Network Intrusion Detection
Authors: Peilun Wu, Hui Guo, Nour Moustafa | Published: 2020-01-19 | Updated: 2020-05-08
Pseudo Random Number Generation: a Reinforcement Learning approach
Authors: Luca Pasqualini, Maurizio Parton | Published: 2019-12-15
Verification of Neural Network Control Policy Under Persistent Adversarial Perturbation
Authors: Yuh-Shyang Wang, Tsui-Wei Weng, Luca Daniel | Published: 2019-08-18
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise
Authors: Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang | Published: 2019-08-12 | Updated: 2019-09-18
Optimal Attacks on Reinforcement Learning Policies
Authors: Alessio Russo, Alexandre Proutiere | Published: 2019-07-31
Characterizing Attacks on Deep Reinforcement Learning
Authors: Xinlei Pan, Chaowei Xiao, Warren He, Shuang Yang, Jian Peng, Mingjie Sun, Jinfeng Yi, Zijiang Yang, Mingyan Liu, Bo Li, Dawn Song | Published: 2019-07-21 | Updated: 2022-02-16
Deep Reinforcement Learning for Cyber Security
Authors: Thanh Thi Nguyen, Vijay Janapa Reddi | Published: 2019-06-13 | Updated: 2021-11-02