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What Does The Crowd Say About You? Evaluating Aggregation-based Location
  Privacy

What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy

1 March 2017
Apostolos Pyrgelis
Carmela Troncoso
Emiliano De Cristofaro
ArXivPDFHTML

Papers citing "What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy"

9 / 9 papers shown
Title
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
Nicolas Küchler
Alexander Viand
Hidde Lycklama
Anwar Hithnawi
31
0
0
10 May 2025
Collection, usage and privacy of mobility data in the enterprise and
  public administrations
Collection, usage and privacy of mobility data in the enterprise and public administrations
Alexandra Kapp
27
4
0
04 Jul 2024
Pool Inference Attacks on Local Differential Privacy: Quantifying the
  Privacy Guarantees of Apple's Count Mean Sketch in Practice
Pool Inference Attacks on Local Differential Privacy: Quantifying the Privacy Guarantees of Apple's Count Mean Sketch in Practice
Andrea Gadotti
Frederick Sell
Reethika Ramesh
Jinyuan Jia
32
18
0
14 Apr 2023
Membership Inference Attacks Against Temporally Correlated Data in Deep
  Reinforcement Learning
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
Maziar Gomrokchi
Susan Amin
Hossein Aboutalebi
Alexander Wong
Doina Precup
MIACV
AAML
44
3
0
08 Sep 2021
SoK: Privacy-Preserving Collaborative Tree-based Model Learning
SoK: Privacy-Preserving Collaborative Tree-based Model Learning
Sylvain Chatel
Apostolos Pyrgelis
J. Troncoso-Pastoriza
Jean-Pierre Hubaux
17
14
0
16 Mar 2021
Measuring Membership Privacy on Aggregate Location Time-Series
Measuring Membership Privacy on Aggregate Location Time-Series
Apostolos Pyrgelis
Carmela Troncoso
Emiliano De Cristofaro
27
23
0
20 Feb 2019
Tagvisor: A Privacy Advisor for Sharing Hashtags
Tagvisor: A Privacy Advisor for Sharing Hashtags
Yang Zhang
Mathias Humbert
Tahleen A. Rahman
Cheng-Te Li
Jun Pang
Michael Backes
26
43
0
12 Feb 2018
Quantifying Differential Privacy under Temporal Correlations
Quantifying Differential Privacy under Temporal Correlations
Yang Cao
Masatoshi Yoshikawa
Yonghui Xiao
Li Xiong
106
103
0
24 Oct 2016
Prediction, Expectation, and Surprise: Methods, Designs, and Study of a
  Deployed Traffic Forecasting Service
Prediction, Expectation, and Surprise: Methods, Designs, and Study of a Deployed Traffic Forecasting Service
Eric Horvitz
Johnson Apacible
Raman Sarin
Lin Liao
AI4TS
41
192
0
04 Jul 2012
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