| Dynexit: A dynamic early-exit strategy for deep residual networks M Wang, J Mo, J Lin, Z Wang, L Du 2019 IEEE International Workshop on Signal Processing Systems (SiPS), 178-183, 2019 | 38 | 2019 |
| HAAC: A Hardware-Software Co-Design to Accelerate Garbled Circuits J Mo, J Gopinath, B Reagen Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 10 | 2023 |
| Towards Fast and Scalable Private Inference J Mo, K Garimella, N Neda, A Ebel, B Reagen Proceedings of the 20th ACM International Conference on Computing Frontiers …, 2023 | 3 | 2023 |
| PPIMCE: An In-memory Computing Fabric for Privacy Preserving Computing H Geng, J Mo, D Reis, J Takeshita, T Jung, B Reagen, M Niemier, XS Hu arXiv preprint arXiv:2308.02648, 2023 | 2 | 2023 |
| Accelerating Garbled Circuits by Hardware-Software Co-Design J Mo, B Reagen DISCC 2023 2nd Workshop on Data Integrity and Secure Cloud Computing, https …, 2023 | | 2023 |
| PriViT: Vision Transformers for Fast Private Inference N Dhyani, J Mo, M Cho, A Joshi, S Garg, B Reagen, C Hegde arXiv preprint arXiv:2310.04604, 2023 | | 2023 |
Brandon ReagenAssistant Professor, New York University在 nyu.edu 的电子邮件经过验证
