Research Highlights

My research focuses on the security and privacy of mobile human behavior data—the digital reflection created as billions of users interact with mobile devices and wireless infrastructures. I study how such behavioral signals can strengthen mobile network security while also introducing new privacy vulnerabilities, particularly in AI-driven ecosystems. My work is organized around three complementary axes:

1. Mobile Users Privacy Protection: Investigating privacy risks arising from behavioral signals and sensors, and designing practical defenses against adversarial tracking and information leakage.

2. Privacy-Preserving User Data Sharing: Developing safe data publishing methods for mobility and network datasets through realistic synthetic data generation, exposure modeling, and memorization auditing, with a focus on mitigating re-identification risks.

3. Data-Driven Mobile Networking Security: Leveraging behavioral and network-level data to detect fraud, characterize anomalies, and build more resilient mobile infrastructures, including emerging AI-enabled attack surfaces.