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One of the most notorious and painful problems that has amazing staying power is of course that of datacollection. I remember how our engineers struggled in 2002 with some API-based collection from a known firewall vendor. script kiddies as they were known back then. it wasn’t the auditors!
A cornerstone in privacy-preserving data analytics introduced the concept of differential privacy, its mathematical basis, and how adding noise ensures privacy. Cynthia Dwork (2006) introduced the fundamental idea, established its mathematical basis, and illustrated how privacy guarantees can be attained by adding numerical work.
One of the most notorious and painful problems that has amazing staying power is of course that of datacollection. I remember how our engineers struggled in 2002 with some API-based collection from a known firewall vendor. script kiddies as they were known back then. it wasn’t the auditors!
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