activity
20172024
most citedAutonomous Network Defence using Reinforcement Learning

41 citations · 54 across the 5 of their papers we have counts for

collaborators

9 papers

cs.AI202441 cited

Autonomous Network Defence using Reinforcement Learning

Myles Foley, Chris Hicks, Kate Highnam +1

In the network security arms race, the defender is significantly disadvantaged as they need to successfully detect and counter every malicious attack. In contrast, the attacker nee…

cs.CR20234 cited

Inroads into Autonomous Network Defence using Explained Reinforcement Learning

Myles Foley, Mia Wang, Zoe M +2

Computer network defence is a complicated task that has necessitated a high degree of human involvement. However, with recent advancements in machine learning, fully autonomous net…

cs.CR2020

Snappy: Fast On-chain Payments with Practical Collaterals

Vasilios Mavroudis, Karl Wüst, Aritra Dhar +2

Permissionless blockchains offer many advantages but also have significant limitations including high latency. This prevents their use in important scenarios such as retail payment…

q-fin.TR2019

Bounded Temporal Fairness for FIFO Financial Markets

Vasilios Mavroudis

Financial exchange operators cater to the needs of their users while simultaneously ensuring compliance with the financial regulations. In this work, we focus on the operators' com…

cs.CR20194 cited

Libra: Fair Order-Matching for Electronic Financial Exchanges

Vasilios Mavroudis, Hayden Melton

While historically, economists have been primarily occupied with analyzing the behaviour of the markets, electronic trading gave rise to a new class of unprecedented problems assoc…

q-fin.TR2019

Market Manipulation as a Security Problem

Vasilios Mavroudis

Order matching systems form the backbone of modern equity exchanges, used by millions of investors daily. Thus, their operation is strictly controlled through numerous regulatory d…