Practical Crowdsourcing of Wearable IoT Data with Local Differential Privacy

Author:

Marchioro Thomas1ORCID,Kazlouski Andrei1ORCID,Markatos Evangelos P.1ORCID

Affiliation:

1. Foundation for Research and Technology - Hellas, Greece

Funder

HORIZON EUROPE Marie Sklodowska-Curie Actions

Publisher

ACM

Reference39 articles.

1. Sharmin Afrose , Danfeng Daphne Yao , and Olivera Kotevska . 2021 . Measurement of Local Differential Privacy Techniques for IoT-based Streaming Data. In 2021 18th International Conference on Privacy, Security and Trust (PST). IEEE, 1–10 . Sharmin Afrose, Danfeng Daphne Yao, and Olivera Kotevska. 2021. Measurement of Local Differential Privacy Techniques for IoT-based Streaming Data. In 2021 18th International Conference on Privacy, Security and Trust (PST). IEEE, 1–10.

2. Towards Private Medical Data Donations by Using Privacy Preserving Technologies

3. A randomized trial to promote physical activity in adult pre-hypertensive and hypertensive patients

4. DySan: Dynamically Sanitizing Motion Sensor Data Against Sensitive Inferences through Adversarial Networks

5. Nicholas Carlini , Chang Liu , Úlfar Erlingsson , Jernej Kos , and Dawn Song . 2019 . The secret sharer: Evaluating and testing unintended memorization in neural networks . In 28th USENIX Security Symposium (USENIX Security 19) . 267–284. Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, and Dawn Song. 2019. The secret sharer: Evaluating and testing unintended memorization in neural networks. In 28th USENIX Security Symposium (USENIX Security 19). 267–284.

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