Search Results for author: Larry Huynh

Found 2 papers, 0 papers with code

Expectations Versus Reality: Evaluating Intrusion Detection Systems in Practice

no code implementations26 Mar 2024 Jake Hesford, Daniel Cheng, Alan Wan, Larry Huynh, Seungho Kim, Hyoungshick Kim, Jin B. Hong

Our paper provides empirical comparisons between recent IDSs to provide an objective comparison between them to help users choose the most appropriate solution based on their requirements.

Intrusion Detection

Quantum-Inspired Machine Learning: a Survey

no code implementations22 Aug 2023 Larry Huynh, Jin Hong, Ajmal Mian, Hajime Suzuki, Yanqiu Wu, Seyit Camtepe

Quantum-inspired Machine Learning (QiML) is a burgeoning field, receiving global attention from researchers for its potential to leverage principles of quantum mechanics within classical computational frameworks.

Quantum Machine Learning

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