Where’s Waldo? A framework for quantifying the privacy-utility trade-off in marketing applications

Author:

Ponte Gilian R.,Wieringa Jaap E.,Boot Tom,Verhoef Peter C.

Funder

NWO

Publisher

Elsevier BV

Reference42 articles.

1. Abadi, Martin, Chu, Andy Goodfellow, Ian, McMahan, H. Brendan, Mironov, Ilya, Talwar, Kunal & Zhang, Li, (2016). Deep learning with differential privacy. In Proceedings of the 2016 ACM SIGSAC conference on computer and communications security - CCS’16 doi: 10.1145/2976749.2978318.

2. Privacy and human behavior in the age of information;Acquisti;Science,2015

3. The economics of privacy;Acquisti;Journal of Economic Literature,2016

4. Using deep learning to overcome privacy and scalability issues in customer data transfer;Anand;Marketing Science,2022

5. Apple ”Learning with privacy at scale,” (2017) https://machinelearning.apple.com/research/learning-with-privacy-at-scale.

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