Practical Privacy-Preserving K-means Clustering
Volume: 2020 Issue: 4 Pages: 414–433 DOI: https://doi.org/10.2478/popets-2020-0080 Download PDF Abstract: Clustering is a common technique for data analysis, which aims to partition data into similar …
Proceedings on Privacy Enhancing Technologies ; 2020 (4):414–433 Payman Mohassel, Mike Rosulek, and Ni Trieu*
Pets without PETs: on pet owners’ under-estimation of privacy …
Volume: 2020 Issue: 1 Pages: 143–164 DOI: Download PDF Abstract: We report on a mixed-method, comparative study investigating whether there is a difference between privacy concerns expressed …
Illuminating the Dark or how to recover what should not be seen in FE ...
Volume: 2020 Issue: 2 Pages: 5–23 DOI: Download PDF Abstract: Classification algorithms/tools become more and more powerful and pervasive. Yet, for some use cases, it is necessary to be able …
Proceedings on Privacy Enhancing Technologies ; 2020 (2):271–287 , Tobias Mueller, Christian Burkert, Hannes Federrath, and M
How private is your period?: A systematic analysis of menstrual app ...
Volume: 2020 Issue: 4 Pages: 491–510 DOI: https://doi.org/10.2478/popets-2020-0083 Download PDF Abstract: Menstruapps are mobile applications that can track a user’s reproductive cycle, sex life and …
DOI 10.2478/popets-2020-0066 Received 2020-02-29; revised 2020-06-15; accepted 2020-06-16. due to the sensitivity of the information stored in OSNs, e.g. per-sonal relationships, political preferences …
PoPETs Proceedings — Secure k-ish Nearest Neighbors Classifier
Authors: Hayim Shaul (MIT), Dan Feldman (University of Haifa), Daniela Rus (MIT) Volume: 2020 Issue: 3 Pages: 42–61 DOI: https://doi.org/10.2478/popets-2020-0045 Download PDF Abstract: The k …
PoPETs Proceedings — SoK: Differential privacies
Volume: 2020 Issue: 2 Pages: 288–313 DOI: https://doi.org/10.2478/popets-2020-0028 Download PDF Abstract: Shortly after it was first introduced in 2006, differential privacy became the flagship data …
Proceedings on Privacy Enhancing Technologies ; 2020 (2):175–208 Peeter Laud*, Alisa Pankova, and Martin Pettai