PoPETs Proceedings
Published by De Gruyter Open / Sciendo before 2022; self-published since Volume 2025 Volume 2024 Volume 2023 Volume 2022 Volume 2021 Volume 2020 Volume 2019 Volume 2018 …
PoPETs Proceedings — Differentially private partition selection
Volume: 2022 Issue: 1 Pages: 339–352 DOI: https://doi.org/10.2478/popets-2022-0017 Download PDF Abstract: Many data analysis operations can be expressed as a GROUP BY query on an …
PoPETs Proceedings — Keeping Privacy Labels Honest
Volume: 2022 Issue: 4 Pages: 486–506 DOI: Download PDF Abstract: At the end of 2020, Apple introduced privacy nutritional labels, requiring app developers to state what data is collected …
Proceedings on Privacy Enhancing Technologies ; 2022 (4):183–203 Yue Niu*, Ramy E. Ali, and Salman Avestimehr
PoPETs Proceedings — Privacy-Preserving High-dimensional Data ...
Volume: 2022 Issue: 1 Pages: 481–500 DOI: Download PDF Abstract: Business intelligence and AI services often involve the collection of copious amounts of multidimensional personal data. …
Proceedings on Privacy Enhancing Technologies ; 2022 (4):314–331 Marlene Saemann*, Daniel Theis, Tobias Urban, and Martin Degeling
PoPETs Proceedings — Developers Say the Darnedest Things: …
Volume: 2022 Issue: 4 Pages: 250–273 DOI: Download PDF Abstract: We investigate the privacy compliance processes followed by developers of child-directed mobile apps. While children’s …
Pika: Secure Computation using Function Secret Sharing over Rings
Pika: Secure Computation using Function Secret Sharing over Rings Authors: Sameer Wagh (Devron Corporation and UC Berkeley) Volume: 2022 Issue: 4 Pages: 351–377 DOI: …
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs
Volume: 2022 Issue: 4 Pages: 183–203 DOI: Download PDF Abstract: Leveraging parallel hardware (e.g. GPUs) for deep neural network (DNN) training brings high computing …
Proceedings on Privacy Enhancing Technologies ; 2022 (1):253–273 Josh Smith, Hassan Jameel Asghar*, Gianpaolo Gioiosa, Sirine Mrabet, Serge Gaspers, and Paul Tyler