Privacy-Aware Human Mobility Prediction via Adversarial Networks
@article{Zhan2022PrivacyAwareHM, title={Privacy-Aware Human Mobility Prediction via Adversarial Networks}, author={Yuting Zhan and Alex Kyllo and Afra Jahanbakhsh Mashhadi and Hamed Haddadi}, journal={2022 2nd International Workshop on Cyber-Physical-Human System Design and Implementation (CPHS)}, year={2022}, pages={7-12} }
As various mobile devices and location-based ser-vices are increasingly developed in different smart city scenarios and applications, many unexpected privacy leakages have arisen due to geolocated data collection and sharing. While these geolocated data could provide a rich understanding of human mobility patterns and address various societal research questions, privacy concerns for users' sensitive information have limited their utilization. In this paper, we design and implement a novel LSTMβ¦Β
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