The Adversarial Resilience Learning Architecture for AI-based Modelling, Exploration, and Operation of Complex Cyber-Physical Systems. - Eric M. S. P. Veith; Nils Wenninghoff; Emilie Frost (CoRR, 2020)

Analyzing Power Grid, ICT, and Market Without Domain Knowledge Using Distributed Artificial Intelligence. - Eric M. S. P. Veith; Stephan Balduin; Nils Wenninghoff; Martin Tröschel; Lars Fischer; Astrid Nieße; Thomas Wolgast; Richard Sethmann; Bastian Fraune; Torben Woltjen (CoRR, 2020)

Learning to Attack Powergrids with DERs. - Eric M. S. P. Veith; Nils Wenninghoff; Stephan Balduin; Thomas Wolgast; Sebastian Lehnhoff (CoRR, 2022)

ANALYSE - Learning to attack cyber-physical energy systems with intelligent agents. - Thomas Wolgast; Nils Wenninghoff; Stephan Balduin; Eric M. S. P. Veith; Bastian Fraune; Torben Woltjen; Astrid Nieße (SoftwareX, 2023)

Explainability Engineering Challenges: Connecting Explainability Levels to Run-Time Explainability. - Maike Schwammberger; Raffaela Mirandola; Nils Wenninghoff (xAI (4), 2024)

Explainable Deep Reinforcement Learning through Introspective Explanations. - Nils Wenninghoff (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)