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EDEN: Enforcing Location Privacy through Re-identification Risk Assessment: A Federated Learning ...

Talkat UbiComp 2021 · 2021-09-21..09-26· [privacy-and-compliance, machine-learning]
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name:Vlad Nitu
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EDEN is a device-side system that selects an LPPM and its configuration by running local sanitizations and a federated re-identification assessor called FURIA, avoiding any raw trace upload. It evaluates against a combined attacker ( poi-attack, ap-attack, pit-attack ), measures utility as area coverage, and is validated on five real-world mobility datasets, reporting a consistently better privacy–utility tradeoff than prior centralized or single-LPPM approaches.

AI-written summary · about

  1. 0:00Intro
  2. 0:27Motivation
  3. 0:55Threats
  4. 1:29Re-Identification Attacks
  5. 2:12Mobility Profiles
  6. 2:34Protection Mechanisms
  7. 3:00LPPM Examples
  8. 3:38Advanced Systems
  9. 4:37Problem Illustration
  10. 4:53EDEN: Overview
  11. 5:59Results
  12. 6:35What is next?
  13. 6:53Reproducibility
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