14 citations · 19 across the 5 of their papers we have counts for
6 papers
Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
Youwei Huang, Jianwen Li, Bin Hu +3
Malicious developer intents in smart contracts constitute significant security threats to decentralized applications, leading to substantial economic losses. Prior work introduced…
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
Yao Li, Sen Fang, Tao Zhang +1
With the rise of large language models, such as ChatGPT, non-decisional models have been applied to various tasks. Moreover, ChatGPT has drawn attention to the traditional decision…
Supersonic: Learning to Generate Source Code Optimizations in C/C++
Zimin Chen, Sen Fang, Martin Monperrus
Software optimization refines programs for resource efficiency while preserving functionality. Traditionally, it is a process done by developers and compilers. This paper introduce…
Do Pre-trained Language Models Indeed Understand Software Engineering Tasks?
Yao Li, Tao Zhang, Xiapu Luo +3
Artificial intelligence (AI) for software engineering (SE) tasks has recently achieved promising performance. In this paper, we investigate to what extent the pre-trained language…
SmartIntentNN: Towards Smart Contract Intent Detection
Youwei Huang, Sen Fang, Jianwen Li +2
Smart contracts on the blockchain offer decentralized financial services but often lack robust security measures, leading to significant economic losses. While substantial research…
Deep Smart Contract Intent Detection
Youwei Huang, Sen Fang, Jianwen Li +3
In recent years, research in software security has concentrated on identifying vulnerabilities in smart contracts to prevent significant losses of crypto assets on blockchains. Des…