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SUMMARY:Differential Privacy: Theory to Practice for the 2020 US Census - 
 Simson Garfinkel
DTSTART:20231218T140000Z
DTEND:20231218T150000Z
UID:TALK206935@talks.cam.ac.uk
CONTACT:Hridoy Sankar Dutta
DESCRIPTION:From 2016 through 2021\, statisticians and computer scientists
  at the US Census Bureau worked on the largest and most complex deployment
  of differential privacy to date: using the modern mathematics of privacy 
 to protect the census responses for more than 330 million residents of the
  United States as part of the 2020 Census of Population and Housing.\n \nT
 his talk presents a first-hand account of the challenges that were faced t
 rying to apply the still young and evolving theory of differential privacy
  to the world’s longest running statistical program. These challenges in
 cluded the need to complete and deploy scientific research on a tight dead
 line\, working in complex deployment environments that had been intentiona
 lly crippled to achieve cybersecurity goals\, working with a hostile data 
 community of data users who did want formal privacy protections applied to
  census data\, and periodic interference from state and federal officials.
  \n \nThis talk also include a brief introduction to differential privacy 
 and a guide to the growing literature and data products that the 2020 Cens
 us produced.\n\nRECORDING : Please note\, this event will be recorded and 
 will be available after the event for an indeterminate period under a CC B
 Y -NC-ND license. Audience members should bear this in mind before joining
  the webinar or asking questions.
LOCATION:Webinar & LT2\, Computer Laboratory\, William Gates Building.
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