Yongqin Wang

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 21

Top Topics

Reliability Analysis

Machine Learning

Top Venues

Qual. Reliab. Eng. Int.

Publications

Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. IACR Cryptol. ePrint Arch. 2023 (2023)
Yongqin Wang, Pratik Sarkar, Nishat Koti, Arpita Patra, Murali Annavaram
CompactTag: Minimizing Computation Overheads in Actively-Secure MPC for Deep Neural Networks. CoRR (2023)
Rachit Rajat, Yongqin Wang, Murali Annavaram
LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables. ISCA (2023)
Yongqin Wang, Rachit Rajat, Murali Annavaram
MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine Learning Inference. CoRR (2022)
Hanieh Hashemi, Yongqin Wang, Murali Annavaram
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. CoRR (2022)
Rachit Rajat, Yongqin Wang, Murali Annavaram
PageORAM: An Efficient DRAM Page Aware ORAM Strategy. MICRO (2022)
Yongqin Wang, G. Edward Suh, Wenjie Xiong, Benjamin Lefaudeux, Brian Knott, Murali Annavaram, Hsien-Hsin S. Lee
Characterization of MPC-based Private Inference for Transformer-based Models. ISPASS (2022)
Hanieh Hashemi, Yongqin Wang, Murali Annavaram
DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. MICRO (2021)
Hanieh Hashemi, Yongqin Wang, Murali Annavaram
Privacy and Integrity Preserving Training Using Trusted Hardware. CoRR (2021)
Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramanian, Murali Annavaram
Origami Inference: Private Inference Using Hardware Enclaves. CLOUD (2021)
Hanieh Hashemi, Yongqin Wang, Chuan Guo, Murali Annavaram
Byzantine-Robust and Privacy-Preserving Framework for FedML. CoRR (2021)
Yongqin Wang
Research on Evaluation Model of College English Online and Offline Mixed Learning Under Digital Environment. DLI (2021)
Rachit Rajat, Yongqin Wang, Murali Annavaram
Look Ahead ORAM: Obfuscating Addresses in Recommendation Model Training. CoRR (2021)
Hanieh Hashemi, Yongqin Wang, Murali Annavaram
DarKnight: A Data Privacy Scheme for Training and Inference of Deep Neural Networks. CoRR (2020)
Yulong Li, Xiaogang Zhang, Yan Ran, Genbao Zhang, Yongqin Wang
Research on meta-action decomposition and meta-action unit modeling technology for electromechanical product. Qual. Reliab. Eng. Int. 36 (1) (2020)
Weiqi Du, Yongqin Wang, Yuanxin Luo
A reliability-based fatigue design for mechanical components under material variability. Qual. Reliab. Eng. Int. 36 (1) (2020)
Yulong Li, Genbao Zhang, Yongqin Wang, Xiaogang Zhang, Yan Ran
Research on reliability allocation technology for NC machine tool meta-action. Qual. Reliab. Eng. Int. 35 (6) (2019)
Krishna Giri Narra, Zhifeng Lin, Yongqin Wang, Keshav Balasubramaniam, Murali Annavaram
Privacy-Preserving Inference in Machine Learning Services Using Trusted Execution Environments. CoRR (2019)
Weiqi Du, Yuanxin Luo, Yongqin Wang, Ling Ma
A general framework for fatigue reliability analysis of a high temperature component. Qual. Reliab. Eng. Int. 35 (1) (2019)
Weiqi Du, Yuanxin Luo, Yongqin Wang
Time-variant reliability analysis using the parallel subset simulation. Reliab. Eng. Syst. Saf. 182 (2019)
Yongqin Wang, Mingming Han, Fei Lang
Teaching Effect of College English Based on Cloud Class Platform. eLEOT (2018)