Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

During compilation, the Preprocessor processes the source code (SRC) to eliminate comments and expand macros or includes. The cleaned code is then forwarded to the Compiler, which converts it into ...

OGhidra bridges Large Language Models (LLMs) via Ollama with the Ghidra reverse engineering platform, enabling AI-driven binary analysis through natural language. Interact with Ghidra using ...

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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Koplenig and Wolfer (KW) (1) fail to account for important features of language data: i) Typological data (e.g., grammatical features) are often binary, unbalanced (far fewer languages with feature ...

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What if writing code was as simple as having a conversation? Imagine describing your idea in plain language—”Create a responsive website with a contact form and a gallery”—and watching as functional ...

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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.