David Hubczenko

According to our database, David Hubczenko authored at least 5 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence.

Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Dynamic Multi-Target Assignment with Decentralised Online Learning to Achieve Multiple Synchronised Goals.

Duong Duc Nguyen, Arvind Rajagopalan, Jijoong Kim, Cheng-Chew Lim, David Hubczenko

Proceedings of the International Conference on Machine Learning and Cybernetics, 2020

2019

Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking.

Yi Han, David Hubczenko, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Benjamin I. P. Rubinstein, Christopher Leckie, Tansu Alpcan, Sarah M. Erfani

CoRR, 2019

Towards Attention Based Vulnerability Discovery Using Source Code Representation.

Junae Kim, David Hubczenko, Paul Montague

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019

2018

Reinforcement Learning for Autonomous Defence in Software-Defined Networking.

Yi Han, Benjamin I. P. Rubinstein, Tamas Abraham, Tansu Alpcan, Olivier Y. de Vel, Sarah M. Erfani, David Hubczenko, Christopher Leckie, Paul Montague

Proceedings of the Decision and Game Theory for Security - 9th International Conference, 2018