research
∙
01/11/2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning
Multi-Agent Reinforcement Learning (MARL) is vulnerable to Adversarial M...
share
research
∙
09/14/2021
Deep hierarchical reinforcement agents for automated penetration testing
Penetration testing the organised attack of a computer system in order t...
research
∙
08/20/2021
CybORG: A Gym for the Development of Autonomous Cyber Agents
Autonomous Cyber Operations (ACO) involves the development of blue team ...
research
∙
02/25/2020
CybORG: An Autonomous Cyber Operations Research Gym
Autonomous Cyber Operations (ACO) involves the consideration of blue tea...
research
∙
04/25/2011
Positive Semidefinite Metric Learning Using Boosting-like Algorithms
The success of many machine learning and pattern recognition methods rel...
research
∙
03/02/2010
Scalable Large-Margin Mahalanobis Distance Metric Learning
For many machine learning algorithms such as k-Nearest Neighbor (k-NN) c...
research
∙
10/13/2009
Positive Semidefinite Metric Learning with Boosting
The learning of appropriate distance metrics is a critical problem in im...
research
∙
05/15/2009