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Improving Fault Tolerance for Reliable DNN Using Boundary-Aware Activation., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (10): 3414-3425 (2022)Design and benchmarking of ferroelectric FET based TCAM., , and . DATE, page 1444-1449. IEEE, (2017)Emerging Technology-Based Design of Primitives for Hardware Security., , , , , , , , and . ACM J. Emerg. Technol. Comput. Syst., 13 (1): 3:1-3:19 (2016)Class-Aware Pruning for Efficient Neural Networks., , , , , , and . CoRR, (2023)Low Power and Temperature-Resilient Compute-In-Memory Based on Subthreshold-FeFET., , , , , , and . CoRR, (2023)Design and optimization of FeFET-based crossbars for binary convolution neural networks., , , and . DATE, page 1205-1210. IEEE, (2018)Real-Time and Robust Hyperdimensional Classification., , , and . ACM Great Lakes Symposium on VLSI, page 397-402. ACM, (2021)Ferroelectric FET Based TCAM Designs for Energy Efficient Computing., , , and . ISVLSI, page 437-442. IEEE, (2019)The Impact of Ferroelectric FETs on Digital and Analog Circuits and Architectures., , , , , , , , , and 2 other author(s). IEEE Des. Test, 37 (1): 79-99 (2020)Computing-In-Memory Using Ferroelectrics: From Single- to Multi-Input Logic., , , , , , , , and . IEEE Des. Test, 39 (2): 56-64 (2022)