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Accurate Low-Degree Polynomial Approximation of Non-polynomial Operators for Fast Private Inference in Homomorphic Encryption., , , , , and . CoRR, (2024)EM-X-DL: Efficient Cross-Device Deep Learning Side-Channel Attack with Noisy EM Signatures., , , , , and . CoRR, (2020)RAGA: Resource-Aware Tree-Splitting for High Performance Knuth-Yao-based Discrete Gaussian Sampling on FPGAs., , , and . ACM Great Lakes Symposium on VLSI, page 443-447. ACM, (2023)Exploration into the Explainability of Neural Network Models for Power Side-Channel Analysis., , and . ACM Great Lakes Symposium on VLSI, page 59-64. ACM, (2022)PCB Identification Based on Machine Learning Utilizing Power Consumption Variability., and . AICAS, page 1-4. IEEE, (2023)EM-X-DL: Efficient Cross-device Deep Learning Side-channel Attack With Noisy EM Signatures., , , , , and . ACM J. Emerg. Technol. Comput. Syst., 18 (1): 4:1-4:17 (2022)SNOW-SCA: ML-Assisted Side-Channel Attack on SNOW-V., , , , , , and . HOST, page 139-149. IEEE, (2024)Physical Side-Channel Vulnerability Assessment of Implementations of Cryptographic Algorithms.. Georgia Institute of Technology, Atlanta, GA, USA, (2024)base-search.net (ftgeorgiatech:oai:repository.gatech.edu:1853/75126).Power Side-Channel Vulnerability Assessment of Lightweight Cryptographic Scheme, XOODYAK., , , , , , , , , and . DAC, page 1-6. IEEE, (2023)X-DeepSCA: Cross-Device Deep Learning Side Channel Attack., , , , , and . DAC, page 134. ACM, (2019)