Differential Privacy: Fundamentals to Forefront
Formalizes mathematical privacy guarantees under arbitrary auxiliary information, composition theorems, Laplace/Gaussian noise calibration, and adaptive data analysis.
Gordon McKay Professor of Computer Science, Harvard University
Self-contained public lectures, keynote addresses, and research seminars.
Formalizes mathematical privacy guarantees under arbitrary auxiliary information, composition theorems, Laplace/Gaussian noise calibration, and adaptive data analysis.



Automata, cryptographic hardness, interactive proofs, and privacy guarantees
MIT · Ruhr University Bochum · Harvard University +1