1 citations · 1 across the 2 of their papers we have counts for
3 papers
AgentSpy: Making AI Agent Behavior Observable
Christoph Bühler, Matteo Biagiola, Luca Di Grazia +1
AI agents built on large language models (LLMs) run shell commands, read and write files, and reach the network, typically with their user's privileges. However, what an agent does…
The Alignment Problem in Constrained Code Generation
Matteo Biagiola, Jahrim Gabriele Cesario, Luca Di Grazia +2
Large Language Models (LLMs) have demonstrated strong capabilities in code generation, but their outputs frequently contain syntax or type errors that result in compilation failure…
AgentBound: Securing Execution Boundaries of AI Agents
Christoph Bühler, Matteo Biagiola, Luca Di Grazia +1
Large Language Models (LLMs) have evolved into AI agents that interact with external tools and environments to perform complex tasks. The Model Context Protocol (MCP) has become th…