Proficient in C
Research Assistant In Differential Privacy
- Explored the mathematical foundations of differential privacy, applying probability distributions, and Bayesian methods to analyze privacy mechanisms.
- Applied linear programming and probability theories to analyze local differential privacy versus metric differential privacy.
- Researched differential privacy, utilizing Bayesian theory and Bayes' theorem to model probability distributions, including the Bernoulli distribution.
- Implemented and evaluated differential privacy algorithms in MATLAB, focusing on the trade-offs between local and metric approaches.