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 …

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 …

Machine learning techniques are widely used in addition to signatures and heuristics to
increase the detection rate of anti-malware software, as they automate the creation of …

Code reuse improves software development efficiency, however, vulnerabilities can be
introduced inadvertently. Many existing works compute the code similarity based on CFGs to …

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 …

Binary code similarity detection (BCSD) serves as a basis for a wide spectrum of
applications, including software plagiarism, malware classification, and known vulnerability …

Malware analysis aims to understand how malicious software carries out actions necessary
for a successful attack and identify the possible impacts of the attack. While there has been …

With the increasing popularity of open-source software, embedded vulnerabilities have been
widely propagating to downstream software. Due to different maintenance policies, software …