Mitigating Automated Obfuscation Attacks on Software Plagiarism Detection Systems
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Beschreibung
Plagiarism is a prevalent challenge in computer science education, and educators rely on detection systems to address it at scale. However, these systems remain vulnerable to obfuscation attacks that alter the structure of a program while preserving its behavior. Recent advancements in artificial intelligence have exacerbated this problem. To address these challenges, this dissertation introduces defense mechanisms against automated obfuscation, enhancing the resilience of detection systems.
Autor*in
Timur Saglam
Themen in »Mitigating Automated Obfuscation Attacks on Software Plagiarism Detection Systems«
Plagiatserkennung Verschleierungsangriffe Quellcode-Plagiate Informatikausbildung Programmierausbildung Plagiarism Detection Obfuscation Attacks Source Code Plagiarism Computer Science Education Programming Education