Yongqin Wang

Orcid: 0009-0005-5076-7706

According to our database1, Yongqin Wang authored at least 22 papers between 2018 and 2025.

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Bibliography

2025
High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings.
Proc. Priv. Enhancing Technol., 2025

2024
PIGEON: A Framework for Private Inference of Neural Networks.
IACR Cryptol. ePrint Arch., 2024

Fastrack: Fast IO for Secure ML using GPU TEEs.
CoRR, 2024

2023
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks.
IACR Cryptol. ePrint Arch., 2023

LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables.
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022
MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference.
CoRR, 2022

PageORAM: An Efficient DRAM Page Aware ORAM Strategy.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Characterization of MPC-based Private Inference for Transformer-based Models.
Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

2021
Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training.
CoRR, 2021

Byzantine-Robust and Privacy-Preserving Framework for FedML.
CoRR, 2021

Privacy and Integrity Preserving Training Using Trusted Hardware.
CoRR, 2021

DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware.
Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

Research on Evaluation Model of College English Online and Offline Mixed Learning Under Digital Environment.
Proceedings of the Design, Learning, and Innovation - 6th EAI International Conference, 2021

Origami Inference: Private Inference Using Hardware Enclaves.
Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020
Research on meta-action decomposition and meta-action unit modeling technology for electromechanical product.
Qual. Reliab. Eng. Int., 2020

A reliability-based fatigue design for mechanical components under material variability.
Qual. Reliab. Eng. Int., 2020

DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks.
CoRR, 2020

2019
Time-variant reliability analysis using the parallel subset simulation.
Reliab. Eng. Syst. Saf., 2019

Research on reliability allocation technology for NC machine tool meta-action.
Qual. Reliab. Eng. Int., 2019

A general framework for fatigue reliability analysis of a high temperature component.
Qual. Reliab. Eng. Int., 2019

Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments.
CoRR, 2019

2018
Teaching Effect of College English Based on Cloud Class Platform.
Proceedings of the e-Learning, e-Education, and Online Training, 2018


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