Overview of Machine Learning Algorithms Used In Hardware Security (TU Delft)


A new technical paper titled “A Survey on Machine Learning in Hardware Security” was published by researchers at TU Delft.


“Hardware security is currently a very influential domain, where each year countless works are published concerning attacks against hardware and countermeasures. A significant number of them use machine learning, which is proven to be very effective in other domains. This survey, as one of the early attempts, presents the usage of machine learning in hardware security in a full and organized manner. Our contributions include classification and introduction to the relevant fields of machine learning, a comprehensive and critical overview of machine learning usage in hardware security, and an investigation of the hardware attacks against machine learning (neural network) implementations.”

Find the technical paper here. Published March 2023.

Köylü, Troya Çağıl, Cezar Rodolfo Wedig Reinbrecht, Anteneh Gebregiorgis, Said Hamdioui, and Mottaqiallah Taouil. “A Survey on Machine Learning in Hardware Security.” ACM Journal on Emerging Technologies in Computing Systems (2023).

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