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2020 – today
- 2023
[c3]Jianqiao Mo
, Karthik Garimella, Negar Neda, Austin Ebel, Brandon Reagen:
Towards Fast and Scalable Private Inference. CF 2023: 322-328- [c2]Jianqiao Mo, Jayanth Gopinath, Brandon Reagen:
HAAC: A Hardware-Software Co-Design to Accelerate Garbled Circuits. ISCA 2023: 10:1-10:13 - [i4]Jianqiao Mo, Karthik Garimella, Negar Neda, Austin Ebel, Brandon Reagen:
Towards Fast and Scalable Private Inference. CoRR abs/2307.04077 (2023) - [i3]Haoran Geng, Jianqiao Mo, Dayane Reis, Jonathan Takeshita, Taeho Jung, Brandon Reagen, Michael T. Niemier, Xiaobo Sharon Hu:
Privacy Preserving In-memory Computing Engine. CoRR abs/2308.02648 (2023) - [i2]Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
PriViT: Vision Transformers for Fast Private Inference. CoRR abs/2310.04604 (2023) - 2022
- [i1]Jianqiao Mo, Jayanth Gopinath, Brandon Reagen:
HAAC: A Hardware-Software Co-Design to Accelerate Garbled Circuits. CoRR abs/2211.13324 (2022)
2010 – 2019
- 2019
- [c1]Meiqi Wang, Jianqiao Mo, Jun Lin, Zhongfeng Wang, Li Du:
DynExit: A Dynamic Early-Exit Strategy for Deep Residual Networks. SiPS 2019: 178-183
Coauthor Index
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