Jiaying Xie

SD-MIL: A Two-Stage De-Noising Framework for Smart Contract Vulnerability Detection via Multi-Instance Learning

Safeguarding smart contracts is paramount to the security of the blockchain ecosystem. In recent years, numerous studies have employed deep learning techniques to detect vulnerabilities in smart contracts based on their bytecode. However, such approaches are primarily limited by inherent code redundancy and coarse-grai...