
- MAPS: Scaling Privacy Compliance Analysis to a Million Apps- Volume: 2019 Issue: 3 Pages: 66–86 DOI: Download PDF Abstract: The app economy is largely reliant on data collection as its primary revenue model. To comply with legal requirements, app … 
- PoPETs Proceedings- Volume 2025 Volume 2024 Volume 2023 Volume 2022 Volume 2021 Volume 2020 Volume 2019 Volume 2018 Volume 2017 Volume 2016 Volume 2015 Privacy Enhancing Technologies … 
- Keywords: machine learning; privacy; inference attacks DOI 10.2478/popets-2019-0008 Received 2018-05-31; revised 2018-09-15; accepted 2018-09-16. 
- Proceedings on Privacy Enhancing Technologies ; 2019 (4):34–53 Jeremy Martin*, Douglas Alpuche, Kristina Bodeman, Lamont Brown, Ellis Fenske*, Lucas Foppe, Travis Mayberry*, … 
- PoPETs Proceedings — Tracking Anonymized Bluetooth Devices- Authors: Johannes K Becker (Boston University), David Li (Boston University), David Starobinski (Boston University) Volume: 2019 Issue: 3 Pages: 50–65 DOI: https://doi.org/10.2478/popets … 
- Investigating People’s Privacy Risk Perception- Volume: 2019 Issue: 3 Pages: 267–288 DOI: Download PDF Abstract: Although media reports often warn about risks associated with using privacy-threatening technologies, most lay users … 
- StealthDB: a Scalable Encrypted Database with Full SQL Query …- Volume: 2019 Issue: 3 Pages: 370–388 DOI: https://doi.org/10.2478/popets-2019-0052 Download PDF Abstract: Encrypted database systems provide a great method for protecting sensitive … 
- PoPETs Proceedings — ConsenSGX: Scaling Anonymous …- Volume: 2019 Issue: 3 Pages: 331–349 DOI: Download PDF Abstract: Anonymous communications networks enable individuals to maintain their privacy online. The most popular … 
- SecureNN: 3-Party Secure Computation for Neural Network Training- Volume: 2019 Issue: 3 Pages: 26–49 DOI: Download PDF Abstract: Neural Networks (NN) provide a powerful method for machine learning training and inference. To effectively train, it is … 
- Proceedings on Privacy Enhancing Technologies ; 2019 (3):409–429 Benjamin Kuykendall*, Hugo Krawczyk, and Tal Rabin