AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …

Binary code similarityapproaches compare two or more pieces of binary code to identify their
similarities and differences. The ability to compare binary code enables many real-world …

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 …

Deep learning has demonstrated its strengths in numerous binary analysis tasks, including
function boundary detection, binary code search, function prototype inference, value set …

Binary code similarity detection (BCSD) has important applications in various fields such as
vulnerabilities detection, software component analysis, and reverse engineering. Recent …

Predicting function names in stripped binaries is an extremely useful but challenging task, as
it requires summarizing the execution behavior and semantics of the function in human …

Code reuse is widespread in software development. It brings a heavy spread of
vulnerabilities, threatening software security. Unfortunately, with the development and …

In software development, it is critical to detect vulnerabilities in a project as early as possible.
Although, deep learning has shown promise in this task, current state-of-the-art methods …

Ethereum smart contracts are programs that run on the Ethereum blockchain, and many
smart contract vulnerabilities have been discovered in the past decade. Many security …

Detecting semantically similar functions--a crucial analysis capability with broad real-world
security usages including vulnerability detection, malware lineage, and forensics--requires …