Deep Reinforcement Learning

BreachT5: Ensembling CodeT5+ Models for Multi-Label Vulnerability Detection in Smart Contracts
Ethereum smart contracts manage billions in digital assets, and vulnerability detection is critical given the immutability of deployed …
Gregorio Dalia, Tat Luat Nguyen, Andrea Di Sorbo, Corrado Visaggio, Annibale Panichella
Project
Efficient Exploration of Autonomous Driving System Safety Boundaries
Safety evaluation of Autonomous Driving Systems (ADSes) requires identifying the conditions under which behaviour transitions from safe …
Alves Marinov, Paolo Arcaini, Antony Bartlett, Alessio Gambi, Fuyuki Ishikawa, Annibale Panichella
The Last Dependency Crusade: Solving Python Dependency Conflicts with LLMs
Resolving Python dependency issues remains a tedious and error-prone process, forcing developers to manually trial compatible module …
Antony Bartlett, Cynthia Liem, Annibale Panichella
The Pursuit of Diversity: Multi-Objective Testing of Deep Reinforcement Learning Agents
Testing deep reinforcement learning (DRL) agents in safety-critical domains requires discovering diverse failure scenarios. Existing …
Antony Bartlett, Cynthia Liem, Annibale Panichella