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UID:pretalx-academic-village-2026-Y7HLXA@cfp.securityfest.com
DTSTART;TZID=CET:20260527T143500
DTEND;TZID=CET:20260527T150500
DESCRIPTION:This talk will delve into the nuanced complexities of data sh
 aring with privacy guarantees\, focusing on why traditional approaches l
 ike data anonymization and high-level statistical releases fall short of
  protecting individuals’ privacy. I will argue that privacy is funda
 mentally a property of the computation rather than of the input data or 
 the produced output. This perspective highlights the limitations of treati
 ng privacy as a characteristic that can be "added" later in the data-pr
 ocessing pipeline. I will discuss how Differential Privacy\, a new gold s
 tandard for privacy protection\, offers a rigorous mathematical framewor
 k that inherently preserves privacy\, thus enabling secure and effective
  data sharing.
DTSTAMP:20260627T234327Z
LOCATION:Taube Room
SUMMARY:The challenge of data sharing while respecting privacy - Alejandro 
 Russo
URL:https://cfp.securityfest.com/academic-village-2026/talk/Y7HLXA/
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