activity
20232026
most citedRobustness and Cybersecurity in the EU Artificial Intelligence Act

9 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DC2026

Stage-Level Executor Allocation in Apache Spark with Cost-Performance Trade-offs

Miriam Rateike, Isaac Waweru Wambugu, Celia Cintas +3

Allocating executors (i.e. compute resources) to distributed processing systems must balance resource costs of scaling-out unnecessarily against artificial, performance-limiting bo…

cs.LG2026

Retrieval with Multiple Query Vectors through Anomalous Pattern Detection

Allassan Tchangmena A Nken, Baimam Boukar Jean Jacques, Miriam Rateike +2

A classical vector retrieval problem typically considers a \emph{single} query embedding vector as input and retrieves the most similar embedding vectors from a vector database. Ho…

cs.CL2025

Localizing Persona Representations in LLMs

Celia Cintas, Miriam Rateike, Erik Miehling +2

We present a study on how and where personas -- defined by distinct sets of human characteristics, values, and beliefs -- are encoded in the representation space of large language…

cs.AI2025★ 9 cited

Robustness and Cybersecurity in the EU Artificial Intelligence Act

Henrik Nolte, Miriam Rateike, Michèle Finck

The EU Artificial Intelligence Act (AIA) establishes different legal principles for different types of AI systems. While prior work has sought to clarify some of these principles,…

cs.LG2023★ 2 cited

Weakly Supervised Detection of Hallucinations in LLM Activations

Miriam Rateike, Celia Cintas, John Wamburu +2

We propose an auditing method to identify whether a large language model (LLM) encodes patterns such as hallucinations in its internal states, which may propagate to downstream tas…