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PMP: Privacy-Aware Matrix Profile against Sensitive Pattern Inference for Time Series. (arXiv:2301.01838v1 [cs.LG])
cs.CR updates on arXiv.org arxiv.org
Recent rapid development of sensor technology has allowed massive
fine-grained time series (TS) data to be collected and set the foundation for
the development of data-driven services and applications. During the process,
data sharing is often involved to allow the third-party modelers to perform
specific time series data mining (TSDM) tasks based on the need of data owner.
The high resolution of TS brings new challenges in protecting privacy. While
meaningful information in high-resolution TS shifts from concrete point values …
applications aware challenges data data-driven data mining data owner data sharing development foundation high matrix mining party privacy process profile rapid resolution sensor series services sharing technology third third-party