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Combination Frequency Differencing for Identifying Design Weaknesses in Physical Unclonable Functions., , , , and . ICST Workshops, page 110-117. IEEE, (2022)Energy footprint framework: A pathway toward smart grid sustainability., , , , , , , and . IEEE Commun. Mag., 51 (1): 50-56 (2013)Cloud Challenge: Secure End-to-End Processing of Smart Metering Data., , , , , , , , , and 5 other author(s). UCC Companion, page 36-42. IEEE, (2018)Design of Robust, High-Entropy Strong PUFs via Weightless Neural Network., , , , , , and . J. Hardw. Syst. Secur., 3 (3): 235-249 (2019)Traceability of Executable Codes Using Neural Networks., , , , and . ISC, volume 6531 of Lecture Notes in Computer Science, page 241-253. Springer, (2010)Defeating Strong PUF Modeling Attack via Adverse Selection of Challenge-Response Pairs., , , and . AsianHOST, page 25-30. IEEE, (2018)Program Matching through Code Analysis and Artificial Neural Networks., , , , and . International Journal of Software Engineering and Knowledge Engineering, 22 (2): 225-241 (2012)Program Equivalence Using Neural Networks., , , , and . BIONETICS, volume 87 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 637-650. Springer, (2010)Secure end-to-end processing of smart metering data., , , , , , , , , and 6 other author(s). J. Cloud Comput., (2019)Machine learning resistant strong PUF: Possible or a pipe dream?, , , and . HOST, page 19-24. IEEE Computer Society, (2016)