אירועים והרצאות בפקולטה למדעי המחשב ע"ש הנרי ומרילין טאוב

Effective data analysis often depends on data that is known to different sources, including private data whose owners cannot disclose. The task at hand is to perform effective analysis of the data while preserving its privacy. This talk will describe efficient cryptographic protocols, some of them based on variants of private set intersection (PSI), that can be applied to perform private analysis of data. Short Bio: ============ Benny Pinkas is a member of the Bar Ilan Cryptography Group and the Center for Research in Applied Cryptography and Cyber Security. His reserach focuses on computer security, privacy and cryptography, and in particular on the design of efficient security systems based on sound assumptions and solid proofs. During the 2011/2 academic year he was also on sabbatical at Google Research. He previously worked at the University of Haifa, at HP Labs in Haifa and in Princeton, and at STAR Lab, Intertrust Technologies. Before that he was a Ph.D. student of Moni Naor at the Foundations of Computer Science Group at the Department of Computer Science and Applied Math in the Weizmann Institute of Science. ========================================= Rereshments will be served from 14:15 Lecture starts at 14:30