Towards mobility data science (vision paper)

M Mokbel, M Sakr, L Xiong, A Züfle, J Almeida… - arXiv preprint arXiv …, 2023 - arxiv.org
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

Holistic survey of privacy and fairness in machine learning

S Shaham, A Hajisafi, MK Quan, DC Nguyen… - arXiv preprint arXiv …, 2023 - arxiv.org
Privacy and fairness are two crucial pillars of responsible Artificial Intelligence (AI) and
trustworthy Machine Learning (ML). Each objective has been independently studied in the …

Mobility Data Science: Perspectives and Challenges

M Mokbel, M Sakr, L Xiong, A Züfle, J Almeida… - ACM Transactions on …, 2024 - dl.acm.org
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

Building quadtrees for spatial data under local differential privacy

E Alptekin, ME Gursoy - IFIP Annual Conference on Data and Applications …, 2023 - Springer
Spatial decompositions are commonly used in the privacy literature for various purposes
such as range query answering, spatial indexing, count-of-counts histograms, data …

[PDF][PDF] A Complete Bibliography of ACM Transactions on Spatial Algorithms and Systems (TSAS)

NHF Beebe - 2024 - ctan.math.utah.edu
A Complete Bibliography of ACM Transactions on Spatial Algorithms and Systems (TSAS)
Page 1 A Complete Bibliography of ACM Transactions on Spatial Algorithms and Systems (TSAS) …