| 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 | 68 | 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 | 8 | 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 | 7 | 2023 |
| FHEmem: A processing in-memory accelerator for fully homomorphic encryption M Zhou, Y Nam, P Gangwar, W Xu, A Dutta, C Wilkerson, R Cammarota, ... IEEE Transactions on Emerging Topics in Computing, 2025 | 1 | 2025 |
| GraSS: Graph-based Similarity Search on Encrypted Query D Kim, Y Nam, W Wang, H Gong, I Bhati, R Cammarota, TS Rosing, ... Cryptology ePrint Archive, 2024 | 1 | 2024 |
| Efficient Host Intrusion Detection using Hyperdimensional Computing Y Nam, R King, Q Burke, M Zhou, P McDaniel, T Rosing 2024 IEEE International Conference on Big Data (BigData), 2645-2652, 2024 | | 2024 |
| UFC: A Unified Accelerator for Fully Homomorphic Encryption M Zhou, Y Nam, X Wang, Y Lee, C Wilkerson, R Kumar, S Taneja, ... 2024 57th IEEE/ACM International Symposium on Microarchitecture (MICRO), 352-365, 2024 | | 2024 |
| 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 |
| Rhychee-FL: Robust and Efficient Hyperdimensional Federated Learning with Homomorphic Encryption Y Nam, A Moitra, Y Venkatesha, X Yu, G De Micheli, X Wang, M Zhou, ... | | |
