BEGIN:VCALENDAR PRODID;X-RICAL-TZSOURCE=TZINFO:-//Calagator//EN CALSCALE:GREGORIAN X-WR-CALNAME:Calagator METHOD:PUBLISH VERSION:2.0 BEGIN:VTIMEZONE TZID;X-RICAL-TZSOURCE=TZINFO:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20200308T020000 RDATE:20200308T020000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 TZNAME:PDT END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT CREATED;VALUE=DATE-TIME:20200916T174116Z DTEND;TZID=America/Los_Angeles;VALUE=DATE-TIME:20201016T140000 DTSTART;TZID=America/Los_Angeles;VALUE=DATE-TIME:20201016T123000 DTSTAMP;VALUE=DATE-TIME:20200916T174116Z LAST-MODIFIED;VALUE=DATE-TIME:20200916T174116Z UID:http://calagator.org/events/1250477303 DESCRIPTION:Secure multi-party computation (MPC) allows multiple parties\ , each holding private data that they are unwilling to share\, to collab orate to perform computations over their data\, while revealing nothing other than the result. The theory behind secure computation is already 35 years old\, but in the last 15 years researchers in the field have de monstrated tremendous improvement in performance. Today\, a confluence of factors are driving an increased interest in secure computation\, bot h in the public domain and in industry\, including the advancements in M PC mentioned above\, the explosion in the volume of private user data be ing generated\, and the advancements in machine learning that are being deployed to leverage that private data. \;\n \;\nIn this talk\, I will give an overview of several of my recent results that has helped scale the performance of secure computation. In the first half of the t alk\, I will focus on the setting where we have large volumes of data an d a secure computation that is out-source to a small number of servers — the Few-PC setting. I will focus on a security relaxation that allows us to improve communication costs asymptotically and concretely for a la rge class of computations. In the second half of the talk\, I will desc ribe several results that allow us to scale MPC to thousands or even mil lions of parties\, by demonstrating a protocol that requires less commun ication and computation from each participant as the number of participa nts grows.\n\nTags: galois\, tech talk\, Dov Gordon\n\nImported from: ht tp://calagator.org/events/1250477303 URL:https://galois.com/blog/2020/09/public-tech-talk-some-recent-results- in-secure-computation/ SUMMARY:Public Tech Talk: "Some Recent Results in Secure Computation" by Dr. Dov Gordon LOCATION:This talk will be live-streamed and is open to the public. To re ceive Zoom meeting information\, send an email request to: techtalkcoord inator@galois.com: false SEQUENCE:1 END:VEVENT END:VCALENDAR