activity
20182025
most citedAdversarial Resilience Learning - Towards Systemic Vulnerability Analysis for Large and Complex Systems

12 citations · 12 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SY2025

Personalized and Demand-Based Education Concept: Practical Tools for Control Engineers

Balint Varga, Lars Fischer, Levente Kovacs

This paper presents a personalized lecture concept using educational blocks and its demonstrative application in a new university lecture. Higher education faces daily challenges:…

cs.CY2020

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…

cs.MA2020

Robust and Deterministic Scheduling of Power Grid Actors

Emilie Frost, Eric MSP Veith, Lars Fischer

Modern power grids need to cope with increasingly decentralized, volatile energy sources as well as new business models such as virtual power plants constituted from battery swarms…

cs.DC2019

Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence

Eric M. S. P. Veith, Lars Fischer, Martin Tröschel +1

Principles of modern cyber-physical system (CPS) analysis are based on analytical methods that depend on whether safety or liveness requirements are considered. Complexity is abstr…

cs.AI2018★ 12 cited

Adversarial Resilience Learning - Towards Systemic Vulnerability Analysis for Large and Complex Systems

Lars Fischer, Jan-Menno Memmen, Eric MSP Veith +1

This paper introduces Adversarial Resilience Learning (ARL), a concept to model, train, and analyze artificial neural networks as representations of competitive agents in highly co…