Differentially Private Outlier Detection in a Collaborative Environment
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Our method is based on a scalable outlier detection technique that uses attribute value frequencies. We provide an end-to-end privacy guarantee by using the ...
Our method is based on a scalable outlier detection technique that uses attribute value frequencies. We provide an end-to-end privacy guarantee by using the ...
If outlier detection is done locally, the results obtained are not as accurate as when outlier detection is done collaboratively over the combined data. However ...
Sep 1, 2018 · Our method is based on a scalable outlier detection technique that uses attribute value frequencies. We provide an end-to-end privacy guarantee ...
Outlier detection is one of the most important data analytics tasks and is used in numer- ous applications and domains. The goal of outlier detection is to ...
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Dive into the research topics of 'Differentially Private Outlier Detection in a Collaborative Environment'. Together they form a unique fingerprint. Sort by ...
Our method is based on a scalable outlier detection technique that uses attribute value frequencies. We provide an end-to-end privacy guarantee by using the ...
DIFFERENTIALLY PRIVATE OUTLIER DETECTION IN A COLLABORATIVE ENVIRONMENT. by HAFIZ ASIF, TANAY TALUKDAR, JAIDEEP VAIDYA, BASIT SHAFIQ and NABIL ADAM.
Jun 27, 2022 · In this paper, we observe that such an approach is not directly applicable to the outsourcing setting, because data owners do not know which ...
Missing: Outlier Environment.