Mar 29, 2016 · To achieve this aim, we propose a learning method that uses tensor factorization (or matrix factorization) to accurately estimate personalized ...

To achieve this aim, we propose a learning method that uses tensor factorization (or matrix factorization) to accurately estimate personalized transition ...

This paper focuses on a localization attack, which derives an actual location of a user at a given time instant from an obfuscated trace, and compares the ...

Bibliographic details on Localization Attacks Using Matrix and Tensor Factorization.

Article "Localization Attacks Using Matrix and Tensor Factorization" Detailed information of the J-GLOBAL is a service based on the concept of Linking, ...

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Abstract: Location privacy attacks based on a Markov chain model have been widely studied to de-anonymize or de-obfuscate mobility traces.

We apply our learning methods to a de-anonymization attack and a localization attack, and evaluate them using three real datasets. The results show that our ...

Feb 22, 2021 · Our proposed method identifies individual behavioral differences in different contexts by learning latent representations of users and contexts.