@InProceedings{rao_et_al:LIPIcs.GIScience.2021.I.12, author = {Rao, Jinmeng and Gao, Song and Kang, Yuhao and Huang, Qunying}, title = {{LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection}}, booktitle = {11th International Conference on Geographic Information Science (GIScience 2021) - Part I}, pages = {12:1--12:17}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-166-5}, ISSN = {1868-8969}, year = {2020}, volume = {177}, editor = {Janowicz, Krzysztof and Verstegen, Judith A.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GIScience.2021.I.12}, URN = {urn:nbn:de:0030-drops-130471}, doi = {10.4230/LIPIcs.GIScience.2021.I.12}, annote = {Keywords: GeoAI, Deep Learning, Trajectory Privacy, Generative Adversarial Networks} }
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