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Butterfly: Privacy Preserving Publishing on Multiple QuasiIdentifiers Technical Report TR 200818 School of Computing Science, Simon Fraser University Jean Pei Simon Fraser University jpei@cs.sfu.caYufei
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How to fill out privacy-preserving data publishing a

01
Identify the sensitive data that needs to be published.
02
Use techniques like data masking, encryption, or differential privacy to protect the privacy of individuals in the dataset.
03
Evaluate the risk of re-identification and adjust the privacy measures accordingly.
04
Publish the data while ensuring that it can still be used for its intended purpose.
05
Monitor and update the privacy measures as needed to maintain the confidentiality of the data.

Who needs privacy-preserving data publishing a?

01
Researchers who need access to sensitive data for analysis.
02
Government agencies looking to share data while protecting individual privacy.
03
Private companies interested in releasing datasets without compromising customer confidentiality.
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Privacy-preserving data publishing involves sharing data in a way that protects the privacy of individuals.
Any organization or individual that collects or processes sensitive data is required to file privacy-preserving data publishing.
Privacy-preserving data publishing can be filled out by providing anonymized or aggregated data that still conveys useful information.
The purpose of privacy-preserving data publishing is to balance the need for data sharing with the need to protect individuals' privacy.
Privacy-preserving data publishing should report relevant data in a way that does not expose personally identifiable information.
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