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Explore the intricacies of differential privacy and its applications in data analysis during this comprehensive workshop. Delve into key concepts such as privacy models, composition style theorems, and adaptive data analysis techniques. Learn about linear and quadratic queries, the importance of not reusing data, and the role of compressibility in maintaining privacy. Gain valuable insights into the computational aspects and intuition behind differential privacy, followed by a detailed proof and summary of the covered topics.
