Who is Mingyu Liang? Overview
A concise factual answer block for searchers comparing this professional profile.
Mingyu Liang is listed as Privacy Engineer at Snap Inc., based in Princeton, New Jersey, United States. AeroLeads shows a matched LinkedIn profile for Mingyu Liang.
Mingyu Liang previously worked as Research Scientist at The George Washington University and Post-Doctoral Associate at University Of Maryland. Mingyu Liang holds Doctor Of Science, Computer Science from George Mason University.
Email format at Snap Inc.
This section adds company-level context without repeating Mingyu Liang's masked contact details.
Review company-level records connected to Mingyu Liang before choosing the right outreach path.
About Mingyu Liang
Thanks for visiting my profile! I'm currently a Post-Doctoral Associate at University of Maryland and a Research Scientist at George Washington University. I received my PhD degree in Computer Science, with a specialization in Cryptography, from the George Mason University, My Master's in Science degree in Computer Science, from the George Washington University. My research experiences focus in the following areas: ■ Cryptography■ Differential privacy■ Secure multi-party computation (MPC)■ Privacy-preserving machine learning
Mingyu Liang's current company
Company context helps verify the profile and gives searchers a useful next step.
Mingyu Liang work experience
A career timeline built from the work history available for this profile.
Research Scientist
Host by Dr. Arkady YerukhimovichSelected Research Projects: 1) Differentially Private Federated Learning in Shuffle Model■ Conducting convergence analysis for gradient descent using one of the most recent private mean estimation protocols incorporating compression techniques.■ Studying the privacy amplification of such protocol through switching to the.
Post-Doctoral Associate
Host by Dr. Dana Dachman-SoledSelected Research Projects:1) Anonymous Tickets Framework (In collaboration with Microsoft)■ Proposing a new protocol that allows clients to anonymously redeem tickets, while at the same time enabling the server to enforce a maximum number of tickets that a client can redeem.2) Machine Learning Using Differentially Private.
Graduate Research Assistant
Research Project 1. Differentially Private Mixing for Cryptocurrencies.■ Proposed a relaxed anonymous mixing mechanism that nonuniformly shuffles cryptocurrencies.■ Applied differential privacy analysis on the transaction pattern of the mixing mechanism.■ Demonstrated that our solution has asymptotic advantages on computation cost over related work and.
Graduate Cryptography Teaching Assistant
Graduate Research Assistant
Research Project 1. Toward Practical and Asymptotically Optimal ORAMs■ Explored avenues for improving on the latest designs of ORAM in the MPC setting.■ Study the usage of differential privacy to relax the full obliviousness of ORAM for practical construction. Research Project 2. Randomized Algorithms with Differential Private Runtime.■ Designed several.
Undergraduate C Programming Language Teaching Assistant
Software Engineering Intern
■ Developing privacy-preserving advertisement solutions and optimized the efficiency and privacy trade-off based on specific business requirements.■ Developing vertical federated learning solutions on the intersection of two or more parties’ databases. ■ Refined existing libraries (ABY3) for 3-party private set intersection in the malicious secure setting.
Undergraduate C Programming Language Teaching Assistant
Graduate Algorithm Course Grader
Java Programming Language Grader
Research Assistant, Department Of Computer Science
■ Supervisor: Dr. Wei Zhao■ Studied data sharing and trading practices, with special focus on the personal data ecosystem and its market, policy and technical implications.■ Built the model of data trading and identify its issues and vulnerabilities.■ Explored currently available technological solutions such as differential privacy and homomorphic.
Enterprise System Programmer, Office Of Information Technology
■ Developed large-scale web-based applications such as InSight, which is an information resource reporting tool that maintains thousands of campus electronic devices.■ Created stored procedures and functions to support the web application with data presentation interactions.■Collaborated with database administrators and the database architects on the.
Mingyu Liang education
Doctor Of Science, Computer Science
Master Of Science - Ms, Computer Science
Bachelor Of Engineering - Be, Mechnatronic Engineering
Frequently asked questions about Mingyu Liang
Quick answers generated from the profile data available on this page.
What company does Mingyu Liang work for?
Mingyu Liang works for Snap Inc..
What is Mingyu Liang's role at Snap Inc.?
Mingyu Liang is listed as Privacy Engineer at Snap Inc..
Where is Mingyu Liang based?
Mingyu Liang is based in Princeton, New Jersey, United States while working with Snap Inc..
What companies has Mingyu Liang worked for?
Mingyu Liang has worked for Snap Inc., The George Washington University, University Of Maryland, George Mason University, and Psicure.
How can I contact Mingyu Liang?
You can use AeroLeads to view verified contact signals for Mingyu Liang at Snap Inc., including work email, phone, and LinkedIn data when available.
What schools did Mingyu Liang attend?
Mingyu Liang holds Doctor Of Science, Computer Science from George Mason University.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial