DP-VAE: Human-Readable Text Anonymization for Online Reviews with Differentially Private Variational Autoencoders

Author:

Weggenmann Benjamin1,Rublack Valentin1,Andrejczuk Michael2,Mattern Justus1,Kerschbaum Florian3

Affiliation:

1. SAP Security Research, Germany

2. University of Edinburgh, United Kingdom

3. University of Waterloo, Canada

Publisher

ACM

Reference64 articles.

1. Deep Learning with Differential Privacy

2. Optuna

3. Satanjeev Banerjee and Alon Lavie . 2005 . METEOR: An automatic metric for MT evaluation with improved correlation with human judgments . In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization. 65–72 . Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and/or summarization. 65–72.

4. M. Barbaro T. Zeller and S. Hansell. 2006. A face is exposed for AOL searcher no. 4417749. New York Times 9 2008 (9 August 2006) 8For. M. Barbaro T. Zeller and S. Hansell. 2006. A face is exposed for AOL searcher no. 4417749. New York Times 9 2008 (9 August 2006) 8For.

5. Raef Bassily , Adam Smith , and Abhradeep Thakurta . 2014 . Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds. In 2014 IEEE 55th Annual Symposium on Foundations of Computer Science. 464–473 . https://doi.org/10.1109/FOCS.2014.56 10.1109/FOCS.2014.56 Raef Bassily, Adam Smith, and Abhradeep Thakurta. 2014. Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds. In 2014 IEEE 55th Annual Symposium on Foundations of Computer Science. 464–473. https://doi.org/10.1109/FOCS.2014.56

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