Auflistung nach Schlagwort "Vulnerability detection"
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- KonferenzbeitragVudenc: Vulnerability Detection with Deep Learning on a Natural Codebase for Python - Summary(Software Engineering 2023, 2023) Wartschinski, Laura; Noller, Yannic; Vogel, Thomas; Kehrer, Timo; Grunske, LarsIn this extended abstract, we summarize our work on Vudenc published in the journal Information and Software Technology (IST) in 2022 [Wa22]. Vudenc uses deep learning to learn features of vulnerable code from a real-world Python codebase and a network of long-short-term memory cells (LSTM) is then used to detect vulnerabilities in code at a fine-grained level.