Kien Duy Nguyen

About Kien Duy Nguyen

Research Scientist specializing in privacy-preserving data analysis and machine learning. Proven track record shipping production privacy enforcement systems, designing privacy “bars” that balance safety and utility, and building query analysis/rewriting tooling for privacy protection. Research background in location privacy and privacy-utility tradeoffs with publications at top venues.

Experience

1. Research Scientist

   Meta

   Oct 2021 — Present · Menlo Park, CA, US

   Work across product, legal, and engineering teams to assess privacy risk, set enforceable privacy requirements (“privacy bars”), and ship systems that enforce privacy protections while preserving utility.• Defined and operationalized privacy standards (”privacy bars”): Improved privacy-protected accuracy 5-10x by identifying systematic accuracy regressions under existing privacy bars, updating requirements, and driving approval/adoption across stakeholders.• Location privacy bars: Identified the gaps for location privacy, proposed, aligned multiple stakeholders, and implemented new privacy protection for location data; unblocked new features and hundreds of millions USD products• Privacy-preserving data access via SQL analysis + rewriting: Built a SQL analysis and rewriting system to transform eligible queries into privacy-preserving equivalents; open-sourced related Presto/Velox functions to support privacy-safe computation.• DP output protections and enforcement: Designed and implemented a privacy-protecting query construction framework that applies protections to outputs, prioritizing extensibility and feature coverage while reducing system complexity.• Privacy attack evaluation: Ran and interpreted membership inference tests to assess privacyleakage risk; used results to inform privacy requirements and mitigation choices.• Textual data privacy quantifications: identified metrics to measure privacy leakage in textual data to inform and improve privacy protection during data processing for LLM training• Led cross-functional privacy engagements: advised multiple teams, translated risk requirements into implementable changes, and drove adoption to meet privacy standards at scale.

Education

• University of Southern California

  Doctor of Philosophy (Ph.D.), Computer Science

  2015 — 2021

• Hanoi University of Science and Technology

  Engineer’s Degree, Information Technology

  2008 — 2013

Skills

• Python
• Latex
• Iphone Development
• Eclipse
• Software Engineering
• Linux
• Algorithms
• Machine Learning
• Data Mining
• Matlab
• C/C++
• Android
• Computer Science
• C
• Programming
• Recommender Systems
• Hadoop
• Subversion
• Mysql
• Distributed Systems
• Design Patterns
• C++
• Java
• Oop
• Objective-C