Yun Lu, University of Victoria

Research

Read how they describe their research on their University of Victoria profile.

Differential privacy theory and applications privacy estimators and auditors secure multiparty computation and rational cryptography especially blockchain security under rational attackers

Latest funding

Differential Privacy Trade-offs in Machine Learning and Social Choice
NSERC · 2023 · Principal investigator
$62,000
Differential Privacy Trade-offs in Machine Learning and Social Choice
NSERC · 2023 · Principal investigator
$12,500

All 2 grants and awards

No publications available.

Differential Privacy Trade-offs in Machine Learning and Social Choice

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Lu, Yun

Keywords: differential privacy; privacy-preserving machine learning; privacy of election data; privacy parameters

$62,000

Differential Privacy Trade-offs in Machine Learning and Social Choice

Principal investigatorNSERC2023Discovery Launch Supplement

Principal investigators: Lu, Yun

$12,500

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Write to this professor

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Applying for

Mention their NSERC grant from 2023

Subject: Prospective PhD student: Differential privacy theory and applications Dear Professor Lu, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. Your research on differential privacy theory and applications connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Differential Privacy Trade-offs in Machine Learning and Social Choice" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]