Welcome to My Blog
Welcome to my personal blog! I’m Yingtai Xiao, a Research Scientist at TikTok Privacy Innovation Lab.
About This Blog
I’ll be sharing my thoughts on various topics including:
- Differential Privacy: Theory and practical applications
- Machine Learning: Privacy-preserving techniques in ML
- Research Insights: Learnings from academic and industry research
A Quick Demo
Here’s some code highlighting:
import numpy as np
def add_laplace_noise(value, sensitivity, epsilon):
"""Add Laplace noise for differential privacy."""
scale = sensitivity / epsilon
noise = np.random.laplace(0, scale)
return value + noise
And some math for differential privacy:
\[\Pr[\mathcal{M}(D) \in S] \leq e^\epsilon \cdot \Pr[\mathcal{M}(D') \in S] + \delta\]Where \(\mathcal{M}\) is a randomized mechanism, and \(D, D'\) are neighboring databases.
Stay Tuned
More posts coming soon. Feel free to reach out if you have any questions or topics you’d like me to cover!