Generating Labeled Multiple Attribute Trajectory Data With Selective Partial Anonymization Based on Exceptional Conditional Generative Adversarial Network
Yeji Song,
Jihwan Shin,
Jinhyun Ahn
et al.
Abstract:Trajectory data generated in location-based service environments contain highly sensitive personal information, making them a prime target for privacy attacks. At the same time, however, valuable statistical information can be obtained from such private data. Optimizing this tradeoff between utility and privacy presents a challenge. This study introduces a novel method for partially anonymizing sensitive areas using a conditional generative adversarial network. The proposed method enables the learning of compl… Show more
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