Certifying Accuracy, Privacy, and Robustness of ML-Based Malware Detection
Nicola Bena,
Marco Anisetti,
Gabriele Gianini
et al.
Abstract:Recent advances in artificial intelligence (AI) are radically changing how systems and applications are designed and developed. In this context, new requirements and regulations emerge, such as the AI Act, placing increasing focus on strict non-functional requirements, such as privacy and robustness, and how they are verified. Certification is considered the most suitable solution for non-functional verification of modern distributed systems, and is increasingly pushed forward in the verification of AI-based a… Show more
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