SPEAKER: Yevgeniy Dodis New York University TITLE: Extractors, Error-Correction and Hiding All Partial Information ABSTRACT: Randomness extractors allow one to obtain nearly perfect randomness from highly imperfect sources randomness, which are only known to contain "scattered" entropy. Not surprisingly, such extractors have found numerous applications in many areas of computer science including cryptography. Aside from extracting randomness, a less known usage of extractors comes from the fact that they hide all deterministic functions of their (high-entropy) input: in other words, extractors provide certain level of privacy for the imperfect source that they use. In the latter kind of applications, one typically needs extra properties of extractors, such as invertibility, collision-resistance, error-correction or unforgeability. In this talk we survey some of such usages of extractors, concentrating on several recent results by the speaker. The primitives we will survey include several flavors of randomness extractors (including "fuzzy extractors" and "extractor-macs"), entropically secure encryption and perfect one-way hash functions. The main technical tools will include several variants of the leftover hash lemma, error correcting codes, and the connection between randomness extraction and hiding all partial information.