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Electronic Edition @ Vldb.org (open Access).pdf

p1126-arcolezi.pdf
Preview of electronic edition @ vldb.org (open access)
🔗 Source: vldb.org
📊 Size: 539 KB
👤 Author: Héber H. Arcolezi, Sébastien Gambs, Jean-François Couchot, and Catuscia Palamidessi
⬇️ Downloads: 146

Summary

Researchers investigated privacy threats to Local Differential Privacy (LDP) protocols for collecting multidimensional data, focusing on two state-of-the-art solutions for frequency estimation of multiple attributes. They found that one solution, Sampling (SMP), is vulnerable to re-identification attacks when collecting data multiple times with commonly used ε values. The study also experimentally assessed five widely used LDP protocols and proposed a countermeasure to improve both utility and robustness against identified threats.

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Description

Researchers investigated privacy threats to Local Differential Privacy (LDP) protocols for collecting multidimensional data, focusing on two state-of-the-art...

Technical Information

  • File Format: PDF
  • File Size: 539 KB
  • Pages: 14
  • Language: EN
  • Author: Héber H. Arcolezi, Sébastien Gambs, Jean-François Couchot, and Catuscia Palamidessi
  • Total Downloads: 146
  • Last Updated: 1 week ago

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