EU Regulatory Changes

This paper, published on arXiv, presents a study on whether large language model (LLM) agents will comply with in-band access-deny signals—essentially, instructions embedded in a system’s output th...

A new research paper published on arXiv, titled "WebMCP Tool Surface Poisoning: Runtime Manipulation Attacks on LLM Agents," identifies a novel vulnerability in large language model (LLM) agents th...

This paper, published on arXiv, analyzes a critical privacy vulnerability in the implementation of digital identity wallets under the updated eIDAS2 regulatory framework. The research identifies th...

This paper, published on arXiv, proposes a new technical framework called "Robust Ensemble of Selectively Strengthened and Augmented Predictors" (RESSAP) for improving the safety and reliability of...

This paper, published on arXiv, introduces SecRL-Prune, a new technical framework for pruning large language models used in code generation. The method uses reinforcement learning to selectively re...

A new preprint from arXiv, titled "Steering LLM Viewpoints through Fabricated Evidence Injection," demonstrates a novel attack vector against large language models. The research shows that by injec...