Software Vulnerability Detection under Poisoning Attacks using CNN-based Image Processing
Lorena González-Manzano,
Joaquín Garcia-Alfaro
Abstract:Design flows, code errors, or inadequate countermeasures may occur in software development. Some of them lead to vulnerabilities in the code, opening the door to attacks. Assorted techniques are developed to detect vulnerable code samples, making artificial intelligence techniques, such as Machine Learning (ML), a common practice. Nonetheless, the security of ML is a major concern. This includes the the case of ML-based detection whose training process is affected by data poisoning. More generally, vulnerabili… Show more
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