Universal probabilistic programming languages (PPLs) enable the specification of models with stochastic support structure. Posterior inference is notoriously hard for this class of models and remains difficult to accelerate on modern hardware. In response to these challenges, we introduce Upix - the first probabilistic...
Markus Böck, J. Cito· Proceedings of the ACM on Pr...· 0 citations
This work analyzes how moral attribution becomes diffuse between users, tool-makers, and third parties when employing autonomous AI agents for offensive security and examines the stakeholder impact of this technology.
A. Happe, Jürgen Cito, Jasmin Wachter· arXiv.org· 2 citations
This work presents ATLAS (Automata Learning for Agent Trajectory Analysis and Strategy Discovery), an approach for recovering interpretable behavioral models from agent trajectories that enable systematic understanding and analysis of otherwise opaque AI agents.
Ignacio D. Lopez-Miguel, A. Happe, J. Cito et al.· Proceedings of the ACM/IEEE...· 1 citation
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