The new major version with a new JIT compiler, a revised parallelization API, and a maturing type system paves the way for ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

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A lack of high-quality source-level types plagues decompiled code despite decades of advancement in the science and art of decompilation. Accurate type information is crucial in understanding program ...

Artificial intelligence (AI) can help improve binary code analysis and, in turn, make the software supply chain more secure. Effective binary code analysis is paramount as supply chain risks rise.

There’s an old story from the Jewish tradition about a group of rabbis debating who owns a bird found near a property line. The rule seems simple—birds on one side belong to the property owner, birds ...

Abstract: Binary Code Similarity Detection (BCSD), a technique for assessing the similarity between two given binary code snippets, holds significant value in searching for vulnerable functions within ...

Biophysics and Structural Genomics Division, Saha Institute of Nuclear Physics, Block AF, Sector-I, Bidhannagar, Kolkata 700064, India ...