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A Guessing Entropy-Based Framework for Deep Learning-Assisted Side-Channel Analysis.

, , and . IEEE Trans. Inf. Forensics Secur., (2023)

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A Unified Metric for Quantifying Information Leakage of Cryptographic Devices under Power Analysis Attacks., , , and . IACR Cryptology ePrint Archive, (2016)Achieving Differential Privacy with Matrix Masking in Big Data., , , and . CoRR, (2022)Efficient 2nd-order power analysis on masked devices utilizing multiple leakage., , , and . HOST, page 118-123. IEEE Computer Society, (2015)A Statistical Model for DPA with Novel Algorithmic Confusion Analysis., , and . CHES, volume 7428 of Lecture Notes in Computer Science, page 233-250. Springer, (2012)Side-channel power analysis of different protection schemes against fault attacks on AES., , , and . ReConFig, page 1-6. IEEE, (2014)A statistics-based success rate model for DPA and CPA., , , and . J. Cryptogr. Eng., 5 (4): 227-243 (2015)A Statistics-based Fundamental Model for Side-channel Attack Analysis., , , and . IACR Cryptology ePrint Archive, (2014)A Robust-Equitable Measure for Feature Ranking and Selection., , , and . J. Mach. Learn. Res., (2017)Side-channel power analysis of XTS-AES., , and . DATE, page 1330-1335. IEEE, (2017)Compiler-Assisted Threshold Implementation against Power Analysis Attacks., , , , , , and . ICCD, page 541-544. IEEE Computer Society, (2017)