Instance-based defense against adversarial attacks in Deep Reinforcement Learning.
Javier GarcíaIsmael SagredoPublished in: Eng. Appl. Artif. Intell. (2022)
Keyphrases
- reinforcement learning
- defense mechanisms
- ddos attacks
- multi agent
- countermeasures
- network security
- knn
- function approximation
- traffic analysis
- intrusion detection
- computer virus
- instance based learning
- state space
- markov decision processes
- deep learning
- reinforcement learning algorithms
- security threats
- cyber attacks
- multi agent reinforcement learning
- policy search
- robotic control
- advanced research projects agency
- temporal difference
- optimal policy
- machine learning
- learning algorithm
- multi agent systems
- learning process
- denial of service attacks
- nearest neighbour
- model free
- information warfare
- cooperative
- security mechanisms
- attack detection
- terrorist attacks
- computer security
- dynamic programming
- watermarking scheme
- security risks
- neural network
- transfer learning
- reinforcement learning methods
- intrusion detection system
- dos attacks
- learning problems
- information security