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 …

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

Proceedings on Privacy Enhancing Technologies ; 2022 (1):353–372 Nishanth Chandran*, Divya Gupta, and Akash Shah

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 …

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 …

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. …

Circuit-PSI With Linear Complexity via Relaxed Batch OPPRF Authors: Nishanth Chandran (Microsoft Research.), Divya Gupta (Microsoft Research.), Akash Shah (UCLA. Work done at …

Proceedings on Privacy Enhancing Technologies ; 2022 (1):253–273 Josh Smith, Hassan Jameel Asghar*, Gianpaolo Gioiosa, Sirine Mrabet, Serge Gaspers, and Paul Tyler

Unfortunately, current FSS-based 2PC works (AriaNN, PoPETS 2022; Boyle et al. Eurocrypt 2021; Boyle et al. TCC 2019) fall short of providing a complete solution to secure inference.

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 …