Volume: 2022 Issue: 1 Pages: 6–27 DOI: Download PDF Abstract: Through voice characteristics and manner of expression, even seemingly benign voice recordings can reveal sensitive attributes about …

Proceedings on Privacy Enhancing Technologies ; 2022 (4):314–331 Marlene Saemann*, Daniel Theis, Tobias Urban, and Martin Degeling

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 online …

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 unbounded …

Proceedings on Privacy Enhancing Technologies ; 2022 (4):486–506 Simon Koch*, Malte Wessels, Benjamin Altpeter, Madita Olvermann, and Martin Johns

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: Download PDF

Volume: 2022 Issue: 2 Pages: 263–281 DOI: Download PDF Abstract: Vertical federated learning (VFL), a variant of federated learning, has recently attracted increasing attention.

Keywords: Multi-party computation, Function Secret Shar-ing, Distributed Point Function, Schwartz-Zippel Lemma over Rings DOI 10.56553/popets-2022-0113 Received 2022-02-28; revised 2022-06 …

Proceedings on Privacy Enhancing Technologies ; 2022 (2):263–281 Xue Jiang*, Xuebing Zhou, and Jens Grossklags

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 by their …