To date, being benefited from the ability of automated feature extraction and the
performance of software vulnerability identification, deep learning techniques have attracted …

Vulnerability detection has long been an important issue in software security. The existing
methods mainly define the rules and features of vulnerabilities through experts, which are …

This thesis presents a novel architecture including two new programming languages,
allowing software developers to create intelligent agents operating anywhere on the …

The existing advanced automatic vulnerability detection methods based on source code are
mainly learning-based, such as machine learning and deep learning. These models can …

This RFC white Paper summarizes our progress on the MIT Voice Name System (VNS) and
Huey. The VNS, similar in name and function to the DNS, is a system to reserve and use" …

In this thesis, I study the understanding of computer programs (code) from two perspectives:
computational and cognitive. I ask what the human bases of understanding code are, and …