[Seminar] Security in machine learning models and privacy-preserving data sharing
The next LIVIA seminar will be held on Thursday, June 23 at 12h00 in hybrid mode.
Title: Privacy-Preserving Data Sharing and Security in Machine Learning Models
by Prof. Mohammadhadi Shateri, Department of Systems Engineering
Abstract: These days, many people admire the great effects and the importance of AI in different applications including healthcare, social media, transport, and so forth. As the two main components of any AI approach one can name the “learning model” and the “data”. The focus of the recent studies has been mostly on boosting the efficiency of the AI approaches by improving the current models or developing more efficient learning algorithms and collecting data samples. Although important, the fact that both the learning model and the process of collecting/sharing datasets can leak sensitive information about the users, received less attentions in the literature. In this talk, the privacy issues regarding the (machine) learning models and data sharing are discussed in terms of the current attack/defense mechanisms. Some practical examples in applications such as smart meters would be presented and several challenges and the current focus of research will be discussed.
Bio: Mohammadhadi Shateri received the Ph.D. in electrical engineering from McGill University, Montreal, Canada in 2021. He continued his work with McGill as a postdoctoral researcher until he joined École de technologie supérieure in June 2022 as an assistant professor. His research interests include machine learning, security of (machine) learning models, and secure data sharing with applications in health and smart grids, among others. He won several scholarships for supporting his research including MEDA (McGill engineering doctoral award), MGS (Manitoba graduate scholarship education and advanced learning, Province of Manitoba), and UMGF (University of Manitoba graduate fellowship).
* In person: ETS-LIVIA, room A-3600. Please confirm your presence if you attend in person.
