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Author

Konrad Rieck

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Preprint Aug 2026

Secrets Everywhere: Auditing Memorization in Mobility Prediction Models

A framework to quantify mobility memorization at different levels of granularity: individual locations, anchor pairs, and subtrajectory segments is introduced and user-grounded reference sets are developed to assess how likely a model is to prefer training data over realistic alternatives.

A. J. Kouam, Hristo Boyadzhiev, Konrad Rieck · 0 citations
Jul 2026

False Prophets: On the Security of World Models in Agentic Systems

It is argued that some risks are intrinsic to approximate world modeling, and shown that attackers can induce mispredictions in agentic pipelines with up to 95% success rate, possibly resulting in unintended command execution, denial of service, drainage of wallet and private information extraction.

Erik Imgrund, Anna Wimbauer, Klim Kireev et al. · 0 citations

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