Scholar
Yu Wei
Google Scholar ID: aqcSjNIAAAAJ
Georgia Institute of Technology
Citations & Impact
Citations
359
H-index
8
i10-index
8
Publications
17
Co-authors
0
Publications
Resume
Academic Achievements
- Paper 'General-Purpose f -DP Estimation and Auditing in a Black-Box Setting' accepted at USENIX 2025; paper 'Eureka: A General Framework for Black-box Differential Privacy Estimators' accepted at S&P 2024; published work 'The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning' on arXiv; won the First Prize in the 2023 Korea National Cryptography Contest.
Research Experience
- Worked as an AI Research Associate Intern at JPMorgan Chase, designing a new noise distribution mechanism; served as a visiting researcher at the University of Maryland (UMD).
Education
- Currently a PhD student in Computer Science at Georgia Tech, supervised by Professor Vassilis Zikas. Previously pursued a PhD at Purdue University. Earned a Master's degree in Computer Science, a Bachelor's degree in Engineering, and a Bachelor's degree in Law from Nankai University in China.
Background
- Research interests include machine learning, cryptography, and privacy. Focused on developing generic tools for differential privacy analysis to help people benefit from data while protecting privacy.
Miscellany
- Collaborates with researchers in various fields, including secure computation, machine learning, symmetric key cryptography, and game theory.