Hardware architecture of a number theoretic transform for a bootstrappable RNS-based homomorphic encryption scheme S Kim, K Lee, W Cho, Y Nam, JH Cheon, RA Rutenbar 2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020 | 58 | 2020 |
HEaaN-STAT: a privacy-preserving statistical analysis toolkit for large-scale numerical, ordinal, and categorical data Y Lee, J Seo, Y Name, J Chae, JH Cheon IEEE Transactions on Dependable and Secure Computing, 2023 | 5 | 2023 |
Efficient machine learning on encrypted data using hyperdimensional computing Y Nam, M Zhou, S Gupta, G De Micheli, R Cammarota, C Wilkerson, ... 2023 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2023 | 4 | 2023 |
FHEmem: A Processing In-Memory Accelerator for Fully Homomorphic Encryption M Zhou, Y Nam, P Gangwar, W Xu, A Dutta, K Subramanyam, ... arXiv preprint arXiv:2311.16293, 2023 | 1 | 2023 |
MatHE: A Near-Mat Processing In-Memory Accelerator for Fully Homomorphic Encryption M Zhou, Y Nam, P Gangwar, W Xu, A Dutta, C Wilkerson, R Cammarota, ... ACM/IEEE Design Automation Conference, 2024 | | 2024 |