Author

Lucas Biechy

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#artificial intelligence Preprint Sep 2026

PrivacySkills: How Privacy Guidance Shapes Source Selection in LLM Agents

While prior work has documented privacy failures in LLM agents, it remains unclear how the presentation of privacy guidance influences their choice of information sources. We introduce PrivacySkills, a controlled framework for evaluating how agents choose among acquisition pathways that provide the same task-relevant v...

Lucas Biechy, Cédric Eichler, H. H. Arcolezi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Jailbreaks for Black-Box Uncertainty Quantification in Large Reasoning Models

While Large Reasoning Models (LRMs) excel at complex reasoning, alignment through reinforcement learning often induces systemic overconfidence. In production environments, where logits may be unavailable, robust black-box uncertainty quantification (UQ) is essential for trustworthiness and safety. Focusing on question-...

Lucas Biechy, Cédric Eichler, Adrien Boiret et al. · 0 citations