Measuring Membership Privacy on Aggregate Location Time-Series-Reference-Cited by-同舟云学术

Measuring Membership Privacy on Aggregate Location Time-Series

Published:2020-06-08 Issue: Volume: Page:
ISSN:
Container-title:Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems
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Author:

Pyrgelis Apostolos¹,Troncoso Carmela¹,De Cristofaro Emiliano²

Affiliation:

1. École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

2. University College London (UCL) & Alan Turing Institute, London, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3393691.3394200

Reference16 articles.

1. Luca Canzian and Mirco Musolesi. 2015. Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis. In Ubicomp. Luca Canzian and Mirco Musolesi. 2015. Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis. In Ubicomp.

2. Cynthia Dwork Moni Naor Toniann Pitassi and Guy N Rothblum. 2010. Differential privacy under continual observation. In STOC. Cynthia Dwork Moni Naor Toniann Pitassi and Guy N Rothblum. 2010. Differential privacy under continual observation. In STOC.

3. Philippe Golle and Kurt Partridge. 2009. On the Anonymity of Home/Work Location Pairs. In Pervasive Computing. Philippe Golle and Kurt Partridge. 2009. On the Anonymity of Home/Work Location Pairs. In Pervasive Computing.

4. Nils Homer Szabolcs Szelinger Margot Redman David Duggan Waibhav Tembe Jill Muehling John V Pearson Dietrich A Stephan Stanley F Nelson and David W Craig. 2008. Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genetics (2008). Nils Homer Szabolcs Szelinger Margot Redman David Duggan Waibhav Tembe Jill Muehling John V Pearson Dietrich A Stephan Stanley F Nelson and David W Craig. 2008. Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genetics (2008).

5. Bargav Jayaraman and David Evans. 2019. Evaluating Differentially Private Machine Learning in Practice. In USENIX Security. Bargav Jayaraman and David Evans. 2019. Evaluating Differentially Private Machine Learning in Practice. In USENIX Security.

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3. Measuring Membership Privacy on Aggregate Location Time-Series;ACM SIGMETRICS Performance Evaluation Review;2020-07-08

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