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Polynomial Multiplication in NTRU Prime: Comparison of Optimization Strategies on Cortex-M4

Published in IACR Transactions on Cryptographic Hardware and Embedded Systems (TCHES), 2021

Goods trick NTT and mixed radix NTT for polynomial multiplication in NTRU Prime, implemented on Cortex-M4.

Recommended citation: Alkim, E., Cheng, D. Y. L., Chung, C. M. M., Evkan, H., Huang, L. W. L., Hwang, V., Li, C. L. T., Niederhagen, R., Shih, Cheng Jhih, Wälde, J., & Yang, B. Y. (2021). "Polynomial Multiplication in NTRU Prime: Comparison of Optimization Strategies on Cortex-M4." IACR Transactions on Cryptographic Hardware and Embedded Systems (TCHES), Vol. 2021 No. 1.
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NTT Multiplication for NTT-unfriendly Rings: New Speed Records for Saber and NTRU on Cortex-M4 and AVX2

Published in IACR Transactions on Cryptographic Hardware and Embedded Systems (TCHES), 2021

NTT multiplication for Saber and NTRU on Cortex-M4 and AVX2, achieving substantial speedup compared to previous methods.

Recommended citation: Chung, C. M. M., Hwang, V., Kannwischer, M. J., Seiler, G., Shih, Cheng Jhih, & Yang, B. Y. (2021). "NTT Multiplication for NTT-unfriendly Rings: New Speed Records for Saber and NTRU on Cortex-M4 and AVX2." IACR Transactions on Cryptographic Hardware and Embedded Systems (TCHES), Vol. 2021 No. 2.
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Oil and Vinegar: Modern Parameters and Implementations

Published in IACR Transactions on Cryptographic Hardware and Embedded Systems (TCHES), 2023

A multivariate post-quantum cryptography (PQC) signature scheme with modern implementations on various platforms.

Recommended citation: Beullens, W., Chen, M. S., Hung, S. H., Kannwischer, M. J., Peng, B. Y., Shih, Cheng Jhih, & Yang, B. Y. (2023). "Oil and Vinegar: Modern Parameters and Implementations." IACR Transactions on Cryptographic Hardware and Embedded Systems (TCHES), Vol. 2023 No. 3.
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A Heterogeneous Computing Framework for Accelerating Fully Homomorphic Encryption

Published in International Symposium on Mobile Internet Security (MobiSec), 2023

Integrated homomorphic encryption (HE) implementations on various platforms and adopted heterogeneous scheduling algorithms.

Recommended citation: Shih, Cheng Jhih, Hung, S. H., Chen C. W., Perng, C. F., Kao. M. C., & Shih, C. S. (2023). "A Heterogeneous Computing Framework for Accelerating Fully Homomorphic Encryption." International Symposium on Mobile Internet Security (MobiSec).
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