7 citations · 15 across the 5 of their papers we have counts for
5 papers
ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We?
Michael Fu, Chakkrit Tantithamthavorn, Van Nguyen +1
Large language models (LLMs) like ChatGPT (i.e., gpt-3.5-turbo and gpt-4) exhibited remarkable advancement in a range of software engineering tasks associated with source code such…
Few-shot Domain-Adaptive Visually-fused Event Detection from Text
Farhad Moghimifar, Fatemeh Shiri, Van Nguyen +2
Incorporating auxiliary modalities such as images into event detection models has attracted increasing interest over the last few years. The complexity of natural language in descr…
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities
Michael Fu, Trung Le, Van Nguyen +2
Deep learning (DL) models have become increasingly popular in identifying software vulnerabilities. Prior studies found that vulnerabilities across different vulnerable programs ma…
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
Michael Fu, Chakkrit Tantithamthavorn, Trung Le +4
Many ML-based approaches have been proposed to automatically detect, localize, and repair software vulnerabilities. While ML-based methods are more effective than program analysis-…
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study
Jason Liu, Shohreh Deldari, Hao Xue +2
In the context of mobile sensing environments, various sensors on mobile devices continually generate a vast amount of data. Analyzing this ever-increasing data presents several ch…