COM S 453: Privacy Preserving Algorithms and Data Security
Prereq: COM S 311
Fundamentals of privacy preserving algorithms, data security, anonymization, and techniques and mechanisms to minimize disclosure of sensitive information while maintaining availability. Theory and fundamentals underpinning measures to evaluate the privacy and availability of data; implementation and deployment of privacy-preserving data operations including pre- and post-randomization techniques, homomorphisms, and secure function evaluation protocols. Theory and practice of the algorithmic limits on data privacy, including the cost in terms of time and space complexity.