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Revealing the Landscape of Privacy-Enhancing Technologies in the Context
  of Data Markets for the IoT: A Systematic Literature Review

Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review

25 July 2021
Gonzalo Munilla Garrido
Johannes Sedlmeir
Ömer Uludağ
Ilias Soto Alaoui
André Luckow
Florian Matthes
ArXivPDFHTML

Papers citing "Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review"

5 / 5 papers shown
Title
SoK: Data Privacy in Virtual Reality
SoK: Data Privacy in Virtual Reality
Gonzalo Munilla Garrido
V. Nair
D. Song
34
38
0
14 Jan 2023
Exploring privacy-enhancing technologies in the automotive value chain
Exploring privacy-enhancing technologies in the automotive value chain
Gonzalo Munilla Garrido
Kaja Schmidt
Christopher Harth-Kitzerow
Johannes Klepsch
André Luckow
Florian Matthes
24
7
0
12 Sep 2022
Towards Verifiable Differentially-Private Polling
Towards Verifiable Differentially-Private Polling
Gonzalo Munilla Garrido
Matthias Babel
Johannes Sedlmeir
19
9
0
15 Jun 2022
Fairness, Integrity, and Privacy in a Scalable Blockchain-based
  Federated Learning System
Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System
Timon Rückel
Johannes Sedlmeir
Peter Hofmann
FedML
19
58
0
11 Nov 2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in
  Federated Learning Client Selection
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
Shulai Zhang
Zirui Li
Quan Chen
Wenli Zheng
Jingwen Leng
M. Guo
FedML
59
32
0
08 Sep 2021
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