Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks

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Membership Inference Attacks on Machine Learning: A Survey (2021, neutral): “Foursquare [224] 528,878 446 30 [30, 41, 76, 86, 133, 161, 174, 181, 185, 242, 243]”
Toward Distribution Estimation under Local Differential Privacy with Small Samples (2018, methodology): “– Foursquare dataset: The Foursquare dataset (global-scale check-in dataset) [50] was collected from April 2012 to September 2013.”
PrivCheck: privacy-preserving check-in data publishing for personalized location based services (2016, methodology): “We use a check-in dataset collected from Foursquare by [40, 41].”
Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019, background): “However, many Foursquare users choose to also share their check-ins via Twitter [37].”
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models (2018, neutral): “, MNIST [4], CIFAR-10 [1], CIFAR-100 [1], Location [43], [44], Purchase2, Adult [5].”
Membership Inference Attacks Against Machine Learning Models (2016, methodology): “We created a location dataset from the publicly available set of mobile users’ location “check-ins” in the Foursquare social network, restricted to the Bangkok area and collected from April 2012 to September 2013 [36].”