Abstract: The aim of this study is to investigate into $\mu \mathrm{AFL}$, a non-intrusive, feedback-driven fuzzing framework, evaluated on Cortex M4 embedded systems and Unix platforms, focusing on ...
Abstract: Legacy COBOL programs often exceed the token limits of modern large language models (LLMs), posing challenges for automatic summarization and comprehension. Traditional approaches either ...
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