PoPETs Proceedings — Volume 2021 - petsymposium.org
Volume 2021 Issue 1 Editors’ Introduction Aaron Johnson (U.S. Naval Research Laboratory), Florian Kerschbaum (University of Waterloo) SGX-MR: Regulating Dataflows for Protecting Access Patterns …
PoPETs Proceedings
Published by De Gruyter Open / Sciendo before 2022; self-published since Volume 2026 Volume 2025 Volume 2024 Volume 2023 Volume 2022 Volume 2021 Volume 2020 Volume 2019 Volume 2018 …
PoPETs Proceedings — Website Fingerprinting in the Age of QUIC
Volume: 2021 Issue: 2 Pages: 48–69 DOI: Download PDF Abstract: With the meteoric rise of the QUIC protocol, the supremacy of TCP as the de facto transport protocol underlying web traffic will soon …
PoPETs Proceedings — GANDaLF: GAN for Data-Limited Fingerprinting
Volume: 2021 Issue: 2 Pages: 305–322 DOI: Download PDF Abstract: We introduce Generative Adversarial Networks for Data-Limited Fingerprinting (GANDaLF), a new deep-learning-based …
PoPETs Proceedings — Three Years Later: A Study of MAC Address ...
Volume: 2021 Issue: 3 Pages: 164–181 DOI: https://doi.org/10.2478/popets-2021-0042 Download PDF Abstract: Mobile device manufacturers and operating system developers increasingly deploy MAC …
Efficient homomorphic evaluation of k-NN classifiers
Authors: Martin Zuber (CEA, LIST), Renaud Sirdey (CEA, LIST) Volume: 2021 Issue: 2 Pages: 111–129 DOI: https://doi.org/10.2478/popets-2021-0020 Download PDF Abstract: We design and implement …
PoPETs Proceedings — “Warn Them” or “Just Block Them”?: …
DOI: https://doi.org/10.2478/popets-2021-0016 Download PDF Abstract: Prior work suggests that older adults are less aware of potential digital privacy risks compared to younger groups. We seek to …
PoPETs Proceedings — Automated Extraction and Presentation of Data ...
Volume: 2021 Issue: 2 Pages: 88–110 DOI: Download PDF Abstract: Privacy policies are documents required by law and regulations that notify users of the collection, use, and sharing of their personal …
Multiparty Homomorphic Encryption from Ring-Learning-with-Errors
Volume: 2021 Issue: 4 Pages: 291–311 DOI: Download PDF Abstract: We propose and evaluate a securemultiparty-computation (MPC) solution in the semihonest model with dishonest majority that is …
PoPETs Proceedings — Editors’ Introduction
Authors: Aaron Johnson (U.S. Naval Research Laboratory), Florian Kerschbaum (University of Waterloo) Volume: 2021 Issue: 1 Pages: 1–4 DOI: https://doi.org/10.2478/popets-2021-0001 …