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Wandi Fu

As seen in: Wiley Online Library, MDPI
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Articles

Feature‐Level Adversarial Attacks and Differential Privacy‐Enhanced Defenses for Trajectory Classification

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By Wandi Fu, Telecommunications Chongqing, Tourism Chongqing, Kun Bai
| Wiley Online Library Verified
Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement Data sharing not applicable to this article as no datasets were generated or analyzed during the current study. References 1, , , , , and , “Adaptively Constrained Dynamic Time Warping for Time Series Classification and Clustering,” Information Sciences 534 (2020): 97–116.
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Differentially Private Timestamps Publishing in Trajectory

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By Hao Wang, Zhaokun Wang, Tingting Wu, Wandi Fu
| MDPI
Abstract : In recent years, location-based social media has become popular, and a large number of spatiotemporal trajectory data have been generated. Although these data have significant mining value, they also pose a great threat to the privacy of users.
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