Binary code similarity analysis is extremely useful, since it provides rich information about an
unknown binary, such as revealing its functionality and identifying reused libraries. Robust …

With deep learning (DL) technology becoming an integral part of the new intelligent
software, tools of DL framework testing and bug-finding are in high demand. Existing DL …

With the increasing popularity of Open‐Source Software (OSS), the number of GitHub issues
reported daily in these OSS projects has been growing rapidly. To resolve these issues …

Binary code similarity detection plays a crucial role in various applications within binary
security, including vulnerability detection, malicious software analysis, etc. However, existing …

Binary code analysis is indispensable for a variety of software security tasks. Applying deep
learning to binary code analysis has drawn great attention because of its notable …

Pseudocode diffing precisely locates similar parts and captures differences between the
decompiled pseudocode of two given binaries. It is particularly useful in many security …

Binary code similarity detection (BCSD) is a fundamental technique for various application.
Many BCSD solutions have been proposed recently, which mostly are embedding-based …

Binary code analysis has immense importance in the research domain of software security.
Today, software is very often compiled for various Instruction Set Architectures (ISAs). As a …

The binary code similarity detection (BCSD) technique can quantitatively measure the
differences between two given binaries and give matching results at predefined granularity …

Enhancing supply chain security is crucial, often involving the detection of patches in
upstream software. However, current security patch analysis works yield relatively low recall …