Di Zhuang

Di Zhuang is a security engineer at Snap Inc. His degrees include a bachelor of information security and a bachelor of laws from Nankai University, Tianjin, China, and a PhD in electrical engineering from the University of South Florida. He is an energetic, skilled security and privacy researcher with interest, expertise, and experience in privacy by design, differential privacy, privacy-preserving machine learning, social network science, and network security. He conducted privacy-preserving machine learning research under the DARPA Brandeis program from 2015 to 2018.

books by Di Zhuang

Privacy-Preserving Machine Learning

  • March 2023
  • ISBN 9781617298042
  • 336 pages
  • printed in black & white
  • Available translations: Japanese, Simplified Chinese

Privacy Preserving Machine Learning explores privacy preservation techniques through real-world use cases in facial recognition, cloud data storage, and more. You’ll learn about practical implementations you can deploy now, future privacy challenges, and how to adapt existing technologies to your needs. Your new skills build towards a complete security data platform project you’ll develop in the final chapter.