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Using Results from Dynamic Analysis for Machine Learning to Detect Software Vulnerabilities

Using Results from Dynamic Analysis for Machine Learning to Detect Software Vulnerabilities

Supervisor(s): Tobias Specht, Hannah Schmid
Status: inprogress
Topic: Machine Learning Methods
Author: Jennie Harel Liangga
Submission: 2025-03-24
Type of Thesis: Bachelorthesis
Thesis topic in co-operation with the Fraunhofer Institute for Applied and Integrated Security AISEC, Garching

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