The adaptive processing of graph data is a long-standing research topic that has been lately
consolidated as a theme of major interest in the deep learning community. The snap …

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, whose goal is to detect similar binary functions without
having access to the source code, is an essential task in computer security. Traditional …

Binary diffing analysis quantitatively measures the differences between two given binaries
and produces fine-grained basic block matching. It has been widely used to enable different …

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

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 …

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

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