Abstract:
Over the past decade, machine learning has experienced remarkable advancements, positively impacting our daily lives. Alongside this progress, a distinctive requirement has emerged—stemming from privacy concerns, usability considerations, and the right to be forgotten—leading to the development of a new concept known as machine unlearning. In this talk, I will undertake a comprehensive exploration of machine unlearning. First, I will give the reasons behind the existence of this necessity. Second, I will talk about recent developments in this field. In the end, I will introduce some corresponding solutions for unlearning verification. This talk is mainly based on our recent papers:
Short Bio:
Professor Wanlei Zhou is currently the Vice Rector (Academic Affairs) and Dean of Faculty of Data Science, City University of Macau, Macao SAR, China. He received the B.Eng and M.Eng degrees from Harbin Institute of Technology, Harbin, China in 1982 and 1984, respectively, and the PhD degree from The Australian National University, Canberra, Australia, in 1991, all in Computer Science and Engineering. He also received a DSc degree (a higher Doctorate degree) from Deakin University in 2002. Before joining City University of Macau, Professor Zhou held various positions including the Head of School of Computer Science in University of Technology Sydney, Australia, the Alfred Deakin Professor, Chair of Information Technology, Associate Dean, and Head of School of Information Technology in Deakin University, Australia. Professor Zhou also served as a lecturer in University of Electronic Science and Technology of China, a system programmer in HP at Massachusetts, USA; a lecturer in Monash University, Melbourne, Australia; and a lecturer in National University of Singapore, Singapore. His main research interests include security, privacy, and distributed computing. Professor Zhou has published more than 500 papers in refereed international journals and refereed international conferences proceedings, including many articles in IEEE transactions and journals.
VISTA Lab (Video, Image, Speech, and Text Analysis Laboratory) research unit of the ALGORITMI center.