3 papers
cs.CR2026
Fetch Me If You Can: A Comprehensive Analysis of Fetch Metadata
Pedro Bernardo, Alex Ploner, Marco Squarcina +2
Effective server-side defenses against cross-site attacks depend on understanding the context in which browser requests are generated. However, servers often lack the information n…
cs.CL2026
Measuring & Mitigating Over-Alignment for LLMs in Multilingual Criminal Law Courts
Arthur Wuhrmann, Gaetan Stein, Daniel Brunner +1
While the wider applicability of LLMs in the legal field is currently debated due to their reliability and the gravity of any errors, narrow uses with well-understood and mitigated…
cs.CL2025
Low-Perplexity LLM-Generated Sequences and Where To Find Them
Arthur Wuhrmann, Anastasiia Kucherenko, Andrei Kucharavy
As Large Language Models (LLMs) become increasingly widespread, understanding how specific training data shapes their outputs is crucial for transparency, accountability, privacy,…