BEGIN:VCALENDAR
VERSION:2.0
PRODID:ILLC Website
X-WR-TIMEZONE:Europe/Amsterdam
BEGIN:VTIMEZONE
TZID:Europe/Amsterdam
X-LIC-LOCATION:Europe/Amsterdam
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700329T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701025T030000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:/NewsandEvents/Archives/2017/newsitem/8322/12-
 --16-February-2017-7th-BIU-Winter-School-on-Crypto
 graphy-Ramat-Gan-Israel
DTSTAMP:20161031T141846
SUMMARY:7th BIU Winter School on Cryptography, Ram
 at-Gan, Israel
DTSTART;VALUE=DATE:20170212
DTEND;VALUE=DATE:20170216
LOCATION:Ramat-Gan, Israel
DESCRIPTION:The concept of differential privacy is
  central to the rigorous foundational approach to 
 private data analysis that has emerged in cryptogr
 aphy in the last decade. The development of this a
 pproach was motivated by the vast amounts of perso
 nal information that are collected in today’s info
 rmation environment, and by a rapidly growing body
  of work demonstrating how traditional approaches 
 to privacy, such as de-identification, fail to pro
 vide adequate privacy preservation.  The framework
  of differential privacy provides a rigorous mathe
 matical treatment of privacy, with concrete provab
 le guarantees that are robust against adversaries 
 with arbitrary computational power and with arbitr
 ary auxiliary knowledge. There is now a large body
  of theoretical work in this vein, and many establ
 ished relationships to scientific fields including
  statistics, machine learning, databases, algorith
 ms, information theory, program verification, and 
 game theory. The products of this research are als
 o making their first strides into use in real worl
 d applications where sensitive personal informatio
 n is analyzed, with algorithms currently deployed 
 by the US Census Bureau, Google, Yahoo, and Apple.
   The target audience for the school is graduate s
 tudents and postdocs in cryptography (we will assu
 me that participants have taken at least one unive
 rsity-level course in cryptography). However, all 
 faculty, undergrads and professionals with the nec
 essary background are welcome. The winter school i
 s open to participants from all over the world; al
 l talks will be in English.
X-ALT-DESC;FMTTYPE=text/html:\n  <p>The concept of
  differential privacy is central to the rigorous f
 oundational approach to private data analysis that
  has emerged in cryptography in the last decade. T
 he development of this approach was motivated by t
 he vast amounts of personal information that are c
 ollected in today’s information environment, and b
 y a rapidly growing body of work demonstrating how
  traditional approaches to privacy, such as de-ide
 ntification, fail to provide adequate privacy pres
 ervation.</p>\n\n  <p>The framework of differentia
 l privacy provides a rigorous mathematical treatme
 nt of privacy, with concrete provable guarantees t
 hat are robust against adversaries with arbitrary 
 computational power and with arbitrary auxiliary k
 nowledge. There is now a large body of theoretical
  work in this vein, and many established relations
 hips to scientific fields including statistics, ma
 chine learning, databases, algorithms, information
  theory, program verification, and game theory. Th
 e products of this research are also making their 
 first strides into use in real world applications 
 where sensitive personal information is analyzed, 
 with algorithms currently deployed by the US Censu
 s Bureau, Google, Yahoo, and Apple.</p>\n\n  <p>Th
 e target audience for the school is graduate stude
 nts and postdocs in cryptography (we will assume t
 hat participants have taken at least one universit
 y-level course in cryptography). However, all facu
 lty, undergrads and professionals&nbsp;<em>with th
 e necessary background</em>&nbsp;are welcome. The 
 winter school is open to participants from all ove
 r the world; all talks will be in English.</p>\n
URL:http://cyber.biu.ac.il/event/the-7th-biu-winte
 r-school/
CONTACT:Christian Schaffner at c.schaffner at uva.
 nl
END:VEVENT
END:VCALENDAR