Boel Nelson

Doctoral Student at Network and Systems

My research focuses on data privacy, and in particular differential privacy, where my main interest is investigating utility-privacy trade-offs in real world scenarios.

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Showing 9 publications


Efficient Error Prediction for Differentially Private Algorithms

Boel Nelson
Proceedings of The 16th International Conference on Availability, Reliability and Security (ARES 2021)
Paper in proceeding

SoK: Chasing Accuracy and Privacy, and Catching Both in Differentially Private Histogram Publication

Boel Nelson, Jenni Reuben
Transactions on Data Privacy. Vol. 13 (3), p. 201-245
Journal article

Joint Subjective and Objective Data Capture and Analytics for Automotive Applications

Mathias Johanson, Jonas Jalminger, Emmanuel Frécon et al
2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
Paper in proceeding

Introducing Differential Privacy to the Automotive Domain: Opportunities and Challenges

Boel Nelson, Tomas Olovsson
Vehicular Technology Conference (VTC-Fall), 2017 IEEE 86th. Vol. 2017, p. 1-7
Paper in proceeding

Data Privacy for Big Automotive Data

Boel Nelson
Licentiate thesis

Security and Privacy for Big Data: A Systematic Literature Review

Boel Nelson, Tomas Olovsson
2016 IEEE International Conference on Big Data (Big Data), p. 3693-3702
Paper in proceeding

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