This paper targets at the function-level vulnerability discovery in the cross-project scenario. A function representation learning method is proposed.
The page contains the code and data used in the paper Vulnerability Discovery with Function Representation Learning from Unlabeled Projects by Guanjun Lin, Jun ...
A function representation learning method is proposed to obtain the high-level and generalizable function representations from the abstract syntax tree ...
To address such challenges, this paper targets at the function-level vulnerability discovery in the cross-project scenario. A function representation learning ...
POSTER:Vulnerability discovery with function representation learning from unlabeled projects (CCS-2017) · Cross-project transfer representation learning for ...
A Lightweight Assisted Vulnerability Discovery Method Using Deep ... POSTER: Vulnerability Discovery with Function Representation Learning from Unlabeled Projects.
POSTER: Vulnerability discovery with function representation learning from unlabeled projects. G Lin, J Zhang, W Luo, L Pan, Y Xiang. Proceedings of the 2017 ...
POSTER: Vulnerability Discovery with Function Representation Learning from Unlabeled Projects · Guanjun LinJun ZhangWei LuoLei PanYang Xiang. Computer Science.
Oct 30, 2017 · This paper describes a PU learning (Positive and Unlabeled learning) based system for potential URL attack detection. Previous machine learning ...