most citedPrivacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces with Cluster-Specific Features

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CR2021

Designing a Location Trace Anonymization Contest

Takao Murakami, Hiromi Arai, Koki Hamada +13

For a better understanding of anonymization methods for location traces, we have designed and held a location trace anonymization contest that deals with a long trace (400 events p…

cs.CR2019★ 2 cited

Privacy-Preserving Multiple Tensor Factorization for Synthesizing Large-Scale Location Traces with Cluster-Specific Features

Takao Murakami, Koki Hamada, Yusuke Kawamoto +1

With the widespread use of LBSs (Location-based Services), synthesizing location traces plays an increasingly important role in analyzing spatial big data while protecting user pri…