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The value of machine learning in privacy

Date of publication: November 11, 2018

Catalogue: Fusion 2018 (Big Data World + Global Qualitative)

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Authors: Carlos Ochoa, Ezequiel Paura

Abstract:

Online behavioral data is a valuable source of insights for researchers. However, data collected passively via tracking meters contains Personal Identifiable Information (PII). With the GDPR into force, the value of online behavioral data is constrained by the risk of disclosing PII. We present a machine-learning solution that significantly reduces the risk of revealing PII when sharing browsing data.

Carlos Ochoa

Author

This is a long description of some author details.

Ezequiel Paura

Author

This is a long description of some author details.

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Citation

Ochoa and Paura (2018a, November 11). The value of machine learning in privacy. ANA - ESOMAR. Retrieved May 13, 2025, from


https://ana.esomar.org/documents/the-value-of-machine-learning-in-privacy