Source code summarization refers to the natural language description of the source code's
function. It can help developers easily understand the semantics of the source code. We can …

The ability to accurately compute the similarity between two pieces of binary code plays an
important role in a wide range of different problems. Several research communities such as …

Binary code fingerprinting is crucial in many security applications. Examples include
malware detection, software infringement, vulnerability analysis, and digital forensics. It is …

Code completion, a highly valuable topic in the software development domain, has been
increasingly promoted for use by recent advances in large language models (LLMs). To …

Binary code summarization, while invaluable for understanding code semantics, is
challenging due to its labor-intensive nature. This study delves into the potential of large …

Semantic understanding of programs is a fundamental problem for programming language
processing (PLP). Recent works that learn representations of code based on pre-training …

In order to secure software, it is critical to detect potential vulnerabilities. The performance of
traditional static vulnerability detection methods is limited by predefined rules, which rely …

Binary code representation learning has shown significant performance in binary analysis
tasks. But existing solutions often have poor transferability, particularly in few-shot and zero …

With the fast development of large software projects, automatic code summarization
techniques, which summarize the main functionalities of a piece of code using natural …

Detecting semantically similar binary functions–a crucial capability with broad security
usages including vulnerability detection, malware analysis, and forensics–requires …