PETS 2021 The 21st Privacy Enhancing Technologies Symposium July 12–16, 2021 On the Internet The annual Privacy Enhancing Technologies Symposium (PETS) brings ...

Monday, July 12 Tuesday, July 13 Wednesday, July 14 Thursday, July 15 Friday, July 16 (HotPETs)

Links to Sites of Interest Past Symposiums/Workshops PETS 2025 — 25th Symposium PETS 2024 — 24th Symposium PETS 2023 — 23rd Symposium PETS 2022 — 22nd Symposium PETS 2021 — …

2 Background This section compares five privacy preference signals in terms of design properties and real-world adoption, which is summarized in Table 1. We selected these sig-nals because they were …

SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications A K M Mubashwir Alam (Marquette University), Sagar Sharma (HP Inc), and Keke Chen (Marquette …

tentially harmful misconceptions that exist for all the tools we studied. For example, a number of partici-pants conflated the privacy protections offered by pri-vate browsing, VPNs, and Tor Browser with …

It is desirable to help users understand the terms used in the privacy notices to raise their awareness of privacy. Despite their growing concerns about data col-lection and sharing [4, 5], users rarely read …

With this shift to the digital, on-demand distribu-tion of media comes increased convenience and cost sav-ings for consumers—and an unprecedented capacity for content distributors to amass enormous …

The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion Abstract: Online tracking is a whack-a-mole game between trackers who build and monetize behavioral user profiles …

Efficient homomorphic evaluation of classifiers Abstract: We design and implement an efficient, secure, homomorphic k-Nearest Neighbours determination al-gorithm, to be used for regression or …