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Abstract
Everyone is now an AI, security and privacy expert, right? In this keynote, we'll look at some common myths around privacy and security in AI and explore what the realities are. By doing so, you'll leave with more expertise and some common design patterns (and anti patterns) that help you build more secure, more private AI systems.
Speaker
Katharine Jarmul
Privacy & Security in Machine Learning and Data Science | Author of "Practical Data Privacy" | Building Community and People-First Machine Learning
Katharine Jarmul focuses her work and research on privacy and security in data science, deep learning and AI. She is author of the well received O'Reilly book Practical Data Privacy (O'Reilly 2023) and has more than 10 years experience in machine learning/AI where she has helped build large scale AI systems with privacy and security built in. You can follow her work via her newsletter, Probably Private or on her website.
