Privacy Challenges in the AI Era - Maya Anderson, IBM Research

Abstract
This talk was originally given as a Keynote talk at ESPRE 2024.
The talk focuses on privacy challenges posed by AI systems, privacy attacks on these systems and discusses some mitigation strategies.

About the Speaker
Maya Anderson is a software researcher, architect and engineer working at IBM Research in the Data Privacy and Security group. Data privacy and security are her passion, and with the advent of the AI era, she has been focusing on making AI more trustworthy in that regard. She has been researching privacy risks related to AI models, and, in particular, to Large Language Models. Before joining IBM Research, she worked in the industry as a senior software developer, team lead and scrum master at VMware and at SAP. Maya is the author of several papers and patents, and she has also contributed to Apache communities, such as Parquet, Arrow, Spark and numpy.