Morris Chang is a professor at the University of South Florida and a visiting professor at National Taiwan University.
He received his Ph.D. degree in computer engineering from North Carolina State University.
His past industrial experiences include positions at Texas Instruments, Microelectronic Center of North Carolina and AT&T Bell Labs.
He received the University Excellence in Teaching Award at Illinois Institute of Technology in 1999.
Dr. Chang was inducted into the NC State University ECE Alumni Hall of Fame on Oct. 25, 2019. He is a 2024-2025 Fulbright Scholar. Dr. Chang’s research interests include: cyber security and privacy-preserving machine learning.
He had led a DARPA project under the Brandeis Program, focusing on privacy-preserving computation over the Internet for more than three years.
His most recent textbook, co-authored with his PhD students, provides a comprehensive coverage on “Privacy-preserving Machine Learning”, Manning Publications, 330 pages, 2023.
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Jan. 2nd, 2025, Apple agreed to pay $95 million to settle Siri privacy leakage lawsuit.
This talk starts out with an introduction of the importance of privacy protection in the big data AI era.
Different types of privacy-related threats, vulnerabilities and attacks in machine learning are introduced.
Then,a summary of techniques that can be utilized in machine learning tasks in terms of minimizing and evading privacy risks and attacks is presented.
The content of a textbook, entitled Privacy-preserving Machine Learning*, from Manning Publications will be introduced.