Strachey Lecture: How Can Algorithms Help to Protect our Privacy
From Strachey Lectures by Oxford University
November 13, 2023 · 55 min
About this episode
Professor Monika Henzinger discusses differential privacy and its importance in protecting data during automated decision-making processes.
In this term's Strachey lecture, Professor Monika Henzinger gives an introduction to differential privacy with an emphasis on differential private algorithms that can handle changing input data. Decisions are increasingly automated using rules that were learnt from personal data. Thus, it is important to guarantee that the privacy of the data is protected during the learning process. To formalize the notion of an algorithm that protects the privacy of its data, differential privacy was introduced. It is a rigorous mathematical definition to analyze the privacy properties of an algorithm – or the lack thereof. In this talk I will give an introduction to differential privacy with an emphasis on differential private algorithms that can handle changing input data. Monika Henzinger is a professor of Computer Science at the Institute of Science and Technology Austria (ISTA). She holds a PhD in computer science from Princeton University (New Jersey, USA), and has been the head of research at Google and a professor of computer science at EPFL and the University of Vienna. Monika Henzinger is an ACM and EATCS Fellow and a member of the Austrian Academy of Sciences and the German National…
People in this episode
Guest: Monika Henzinger
Topics covered
- differential privacy
- algorithms
- data protection
- computer science
- privacy
- automated decisions
Keywords
- differential privacy
- algorithms
- data privacy
- computer science
- automated decisions
- privacy protection
Mentioned in this episode
Organizations: Institute of Science and Technology Austria, Google, EPFL, University of Vienna, Austrian Academy of Sciences, German National Academy of Sciences Leopoldina, TU Dortmund University
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