Skip to main content
King Abdullah University of Science and Technology
Cyber Security and Resilience Community
Cyber Security and Resilience Community
  • People
    • Faculty
    • Research Scientists
    • Postdoctoral Fellows
    • All People
  • Research Groups
    • Cyber Security and Resilience Technology (CyberSaR)
    • Roberto Di Pietro Research Group (R-Pietro)
    • Security Research Bearing Experimental Results (SeRBER)
  • Research Strategy

privacy-preserving machine learning

KAUST-CEMSE-CS-PhD-Dissertation-Defense-Lijie-Zihang Xiang-Modern-Privacy-preserving-Machine-Learning

Modern Privacy-preserving Machine Learning: Rigorous Approach for Data Privacy

Zihang Xiang, Ph.D. Student, Computer Science
Jul 6, 10:00 - 12:00

B3 L5 R5216

privacy-preserving machine learning Differential privacy Federated learning

This dissertation centers around privacy-preserving technologies (differential privacy) in broad machine learning applications. This dissertation focuses on two sides of differential privacy: 1) designing privacy-preserving algorithms, 2) ensuring the falsifiability of privacy claims.

Cyber Security and Resilience Community (CriSys)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice