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cs.SE2025
VulStamp: Vulnerability Assessment using Large Language Model
Hao Shen, Ming Hu, Xiaofei Xie +2
Although modern vulnerability detection tools enable developers to efficiently identify numerous security flaws, indiscriminate remediation efforts often lead to superfluous develo…
cs.SE2024
An Empirical Study of Vulnerability Detection using Federated Learning
Peiheng Zhou, Ming Hu, Xingrun Quan +6
Although Deep Learning (DL) methods becoming increasingly popular in vulnerability detection, their performance is seriously limited by insufficient training data. This is mainly b…