Santikellur, P., & Chakraborty, R. S. (2023). Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits (1st ed. 2023.). Springer Nature Singapore. https://doi.org/10.1007/978-981-19-4017-0
Chicago Style (17th ed.) CitationSantikellur, Pranesh, and Rajat Subhra Chakraborty. Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits. 1st ed. 2023. Singapore: Springer Nature Singapore, 2023. https://doi.org/10.1007/978-981-19-4017-0.
MLA (9th ed.) CitationSantikellur, Pranesh, and Rajat Subhra Chakraborty. Deep Learning for Computational Problems in Hardware Security: Modeling Attacks on Strong Physically Unclonable Function Circuits. 1st ed. 2023. Springer Nature Singapore, 2023. https://doi.org/10.1007/978-981-19-4017-0.