Ye Dong

Research Fellow at National University of Singapore

Singapore
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Summary

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Senior
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Top School
Ye Dong is a Research Fellow at the School of Computing, National University of Singapore, with nine years of experience in security and privacy research focused on cryptography, secure multiparty computation, and applied machine learning. He earned a PhD in Cyberspace Security from UCAS and has held research roles at SUTD, Peking University, Ant Group, Primihub, and other labs where he worked on practical cryptographic techniques and MPC systems. Comfortable moving between deep theory and engineering, Ye has contributed to industry-focused projects at Ant Cryptography & Privacy Lab and hands-on MPC implementations during internships. Based in Singapore, he combines strong academic training with real-world cryptographic engineering, often bridging collaborative research and production-oriented privacy solutions.
code9 years of coding experience
bookDoctor of Philosophy - PhD, Cyber Security, Doctor of Philosophy - PhD, Cyber Security at University of Chinese Academy of Sciences
bookBachelor's degree, Computer Science and Technology, Bachelor's degree, Computer Science and Technology at Shandong University
bookExchange Student, Computer Science, Exchange Student, Computer Science at Beijing Institute of Technology
languagesChinese, English
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Github Skills (32)

secure-computation10
protected10
spu10
machine-learning10
mpc10
privacy10
deep-learning10
privacy-preserving10
privacy-enhancing-technologies10
computation9
fhe8
circuit8
homomorphic-encryption8
differential-privacy7
protocols6

Programming languages (2)

C++Python

Github contributions (5)

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Ye-D/PPML-Resource

Dec 2019 - Jan 2023

Materials about Privacy-Preserving Machine Learning
Contributions:34 commits, 7 PRs, 62 pushes in 3 years 1 month
mpcprivacy-enhancing-technologiesprivacydeep-learningprivacy-preserving-machine-learning
Ye-D/PaperNotes-MPC

May 2022 - Dec 2022

Contributions:10 commits, 15 pushes, 5 branches in 8 months
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