Feb. 6, 2024, 5:10 a.m. | V. Arvind Rameshwar Anshoo Tandon Prajjwal Gupta Novoneel Chakraborty Abhay Sharma

cs.CR updates on arXiv.org arxiv.org

This paper considers the problem of the private release of sample means of speed values from traffic datasets. Our key contribution is the development of user-level differentially private algorithms that incorporate carefully chosen parameter values to ensure low estimation errors on real-world datasets, while ensuring privacy. We test our algorithms on ITMS (Intelligent Traffic Management System) data from an Indian city, where the speeds of different buses are drawn in a potentially non-i.i.d. manner from an unknown distribution, and where …

algorithms cs.cr cs.it datasets development errors iot key low math.it parameter privacy private problem real release sample speed stat.ap temporal test traffic world

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