34 citations · 120 across the 14 of their papers we have counts for
3 papers · 1 filter
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…
Simulator Ensembles for Trustworthy Autonomous Driving Systems Testing
Lev Sorokin, Matteo Biagiola, Andrea Stocco
Scenario-based testing with driving simulators is extensively used to identify failing conditions of automated driving assistance systems (ADAS). However, existing studies have sho…
XMutant: XAI-based Fuzzing for Deep Learning Systems
Xingcheng Chen, Matteo Biagiola, Vincenzo Riccio +2
Semantic-based test generators are widely used to produce failure-inducing inputs for Deep Learning (DL) systems. They typically generate challenging test inputs by applying random…