DarKnight: An accelerated framework for privacy and integrity preserving deep learning using trusted hardware H Hashemi, Y Wang, M Annavaram MICRO-54: 54th Annual IEEE/ACM International Symposium on Microarchitecture …, 2021 | 69* | 2021 |
Byzantine-resilient federated learning with heterogeneous data distribution S Prakash, H Hashemi, Y Wang, M Annavaram, S Avestimehr arXiv preprint arXiv:2010.07541, 2020 | 47* | 2020 |
Origami inference: Private inference using hardware enclaves KG Narra, Z Lin, Y Wang, K Balasubramanian, M Annavaram 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 78-84, 2021 | 42* | 2021 |
Characterization of mpc-based private inference for transformer-based models Y Wang, GE Suh, W Xiong, B Lefaudeux, B Knott, M Annavaram, ... 2022 IEEE International Symposium on Performance Analysis of Systems and …, 2022 | 22 | 2022 |
Byzantine-robust and privacy-preserving framework for fedml H Hashemi, Y Wang, C Guo, M Annavaram arXiv preprint arXiv:2105.02295, 2021 | 18 | 2021 |
Laoram: A look ahead oram architecture for training large embedding tables R Rajat, Y Wang, M Annavaram Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 8* | 2023 |
MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference Y Wang, R Rajat, M Annavaram arXiv preprint arXiv:2209.13643, 2022 | 4 | 2022 |
Pageoram: An efficient dram page aware oram strategy R Rajat, Y Wang, M Annavaram 2022 55th IEEE/ACM International Symposium on Microarchitecture (MICRO), 91-107, 2022 | 3 | 2022 |
The blackparrot processor: An open-source industrial-strength RV64G multicore processor Z Azad, L Delshadtehrani, B Zhou, A Joshi, F Gilani, K Lim, D Petrisko, ... Mar, 2019 | 3 | 2019 |
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks Y Wang, P Sarkar, N Koti, A Patra, M Annavaram arXiv preprint arXiv:2311.04406, 2023 | 1 | 2023 |