Overview
Explore the concept of differential privacy in this lecture by Professor Cynthia Dwork from Microsoft Research. Delve into the challenges posed by "Big Data" in terms of spurious scientific discoveries and privacy compromises. Examine the disconnect between theoretical statistical inference and practical data analysis, particularly in hypothesis testing. Learn about differential privacy as a framework for privacy-preserving data analysis, its definition, and basic algorithmic techniques for implementation. Discover how differential privacy not only protects individual privacy but also prevents false discoveries resulting from adaptive data analysis. Gain insights into the intersection of big data, privacy, and scientific integrity in this comprehensive exploration of a cutting-edge topic in data science and information security.
Syllabus
Date: Wednesday 30th November 2016 - 16:00 to
Taught by
Isaac Newton Institute for Mathematical Sciences