4 citations · 8 across the 4 of their papers we have counts for
4 papers
ANALYSE -- Learning to Attack Cyber-Physical Energy Systems With Intelligent Agents
Thomas Wolgast, Nils Wenninghoff, Stephan Balduin +4
The ongoing penetration of energy systems with information and communications technology (ICT) and the introduction of new markets increase the potential for malicious or profit-dr…
Learning to Attack Powergrids with DERs
Eric MSP Veith, Nils Wenninghoff, Stephan Balduin +2
In the past years, power grids have become a valuable target for cyber-attacks. Especially the attacks on the Ukrainian power grid has sparked numerous research into possible attac…
Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence
Eric MSP Veith, Stephan Balduin, Nils Wenninghoff +7
Modern cyber-physical systems (CPS), such as our energy infrastructure, are becoming increasingly complex: An ever-higher share of Artificial Intelligence (AI)-based technologies u…
The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems
Eric MSP Veith, Nils Wenninghoff, Emilie Frost
Modern algorithms in the domain of Deep Reinforcement Learning (DRL) demonstrated remarkable successes; most widely known are those in game-based scenarios, from ATARI video games…