Automatic query reformulation is a widely utilized technology for enriching user
requirements and enhancing the outcomes of code search. It can be conceptualized as a …

Smart contracts in blockchains have been increasingly used for high-value business
applications. It is essential to check smart contracts' reliability before and after deployment …

Over the decades in the sphere of deep learning and machine learning, supervised learning
has stood to be the anchor but the enormous amount of unannotated data, high cost in the …

In recent years, an increasing number of deep learning-based code representation learning
techniques have achieved great success in the field of program analysis. These methods …

Smart contracts are programs running on the blockchain. In recent years, due to the
continuous occurrence of smart contract security accidents, how to effectively detect …

Code similarity detection is crucial for conducting security audits on smart contracts. It
enables important audit tasks such as vulnerability mining and malicious contract detection …

This paper addresses the challenging task of clustering source code files within Ethereum
smart contracts. The intricate structure of these files, encompassing contracts, interfaces, and …

Smart contracts are programs running on blockchain. In recent years, due to the persistent
occurrence of security-related accidents in smart contracts, the effective detection of …