| Does Fully Homomorphic Encryption Need Compute Acceleration? L de Castro, R Agrawal, R Yazicigil, A Chandrakasan, V Vaikuntanathan, ... arXiv preprint arXiv:2112.06396, 2021 | 39 | 2021 |
| Lightweight, Maliciously Secure Verifiable Function Secret Sharing L de Castro, A Polychroniadou Cryptology ePrint Archive, 2021 | 33 | 2021 |
| Fast vector oblivious linear evaluation from ring learning with errors L de Castro, C Juvekar, V Vaikuntanathan Cryptology ePrint Archive, 2020 | 18 | 2020 |
| SCRAM: A Platform for Securely Measuring Cyber Risk L Castro, AW Lo, T Reynolds, F Susan, V Vaikuntanathan, DJ Weitzner, ... MIT Press-Journals, 2020 | 12 | 2020 |
| Effect of temperature change on synaptic transmission at crayfish neuromuscular junctions Y Zhu, L de Castro, RL Cooper Biology Open 7 (12), bio037820, 2018 | 8 | 2018 |
| Practical homomorphic encryption implementations & applications LLRN De Castro Massachusetts Institute of Technology, 2020 | 4 | 2020 |
| CryptoCredit: securely training fair models L de Castro, J Chen, A Polychroniadou Proceedings of the First ACM International Conference on AI in Finance, 1-8, 2020 | 3 | 2020 |
| Modeling Password Guessing with Neural Networks L de Castro, H Lang, S Liu, C Mata | 2 | |
| HEalth: Privately Computing on Shared Healthcare Data L de Castro, E Hales, M Xu Protecting Privacy through Homomorphic Encryption, 157-162, 2021 | | 2021 |
