Boel Nelson
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.
Showing 9 publications
Efficient Error Prediction for Differentially Private Algorithms
SoK: Chasing Accuracy and Privacy, and Catching Both in Differentially Private Histogram Publication
Joint Subjective and Objective Data Capture and Analytics for Automotive Applications
Introducing Differential Privacy to the Automotive Domain: Opportunities and Challenges
Security and Privacy for Big Data: A Systematic Literature Review
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