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The prevalence of location-based services contributes to the explosive growth of individual-level trajectory data and raises public concerns about privacy issues.
Neural networks: a comprehensive foundation
Simon Haykin · 1994
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Geographically masking health data to preserve confidentiality
Marc P Armstrong, Gerard Rushton, Dale L Zimmerman, et al · 1999
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Anonymous usage of location-based services through spatial and temporal cloaking
Marco Gruteser and Dirk Grunwald · 2003
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Protection of geoprivacy and accuracy of spatial information: How effective are geographical masks?
Mei-Po Kwan, Irene Casas, and Ben Schmitz · 2004
Earlier work this paper cites.
Towards trajectory anonymization: a generalization-based approach
Mehmet Ercan Nergiz, Maurizio Atzori, and Yucel Saygin · 2008
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Mapping health data: Improved privacy protection with donut method geomasking
Kristen H Hampton, Molly K Fitch, William B Allshouse, Irene A Doherty, Dionne C Gesink, Peter A Leone, Marc L Serre, and William C Miller · 2010
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Trajectory privacy in location-based services and data publication
Chi-Yin Chow and Mohamed F Mokbel · 2011
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Mobimix: Protecting location privacy with mix-zones over road networks
Balaji Palanisamy and Ling Liu · 2011
Earlier work this paper cites.
Unique in the crowd: The privacy bounds of human mobility
Yves-Alexandre De Montjoye, César A Hidalgo, Michel Verleysen, and Vincent D Blondel · 2013
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Achieving k-anonymity in privacy-aware location-based services
Ben Niu, Qinghua Li, Xiaoyan Zhu, Guohong Cao, and Hui Li · 2014
Earlier work this paper cites.
Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs
Dingqi Yang, Daqing Zhang, Vincent W Zheng, and Zhiyong Yu · 2014
Cited alongside, same era.
Modeling and visualizing regular human mobility patterns with uncertainty: An example using twitter data
Qunying Huang and David WS Wong · 2015
Cited alongside, same era.
Geographic situational awareness: Mining tweets for disaster preparedness, emergency response, impact, and recovery
Qunying Huang and Yu Xiao · 2015
Cited alongside, same era.
Social sensing: A new approach to understanding our socioeconomic environments
Yu Liu, Xi Liu, Song Gao, Li Gong, Chaogui Kang, Ye Zhi, Guanghua Chi, and Li Shi · 2015
Cited alongside, same era.
Activity space estimation with longitudinal observations of social media data
Jae Hyun Lee, Adam W Davis, Seo Youn Yoon, and K. G. Goulias · 2016
Cited alongside, same era.
Social GAN: Socially acceptable trajectories with generative adversarial networks
Agrim Gupta, Justin Johnson, Li Fei-Fei, Silvio Savarese, and Alexandre Alahi · 2018
Later among the works it cites.
A geoprivacy manifesto
Carsten Keßler and Grant McKenzie · 2018
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trajGANs: Using generative adversarial networks for geo-privacy protection of trajectory data (vision paper)
Xi Liu, Hanzhou Chen, and Clio Andris · 2018
Later among the works it cites.
Trajectory-user linking via variational autoencoder
Fan Zhou, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong, and Fengli Zhang · 2018
Later among the works it cites.
Exploring the effectiveness of geomasking techniques for protecting the geoprivacy of twitter users
Song Gao, Jinmeng Rao, Xinyi Liu, Yuhao Kang, Qunying Huang, and Joseph App · 2019
Later among the works it cites.
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Privacy and spatial pattern preservation in masked GPS trajectory data
Dara E Seidl, Piotr Jankowski, and Ming-Hsiang Tsou · 2016
Cited alongside, same era.
Spatial, temporal, and content analysis of twitter for wildfire hazards
Zheye Wang, Xinyue Ye, and Ming-Hsiang Tsou · 2016
Cited alongside, same era.
Identifying human mobility via trajectory embeddings
Qiang Gao, Fan Zhou, Kunpeng Zhang, Goce Trajcevski, Xucheng Luo, and Fengli Zhang · 2017
Cited alongside, same era.
Individual exposure estimates may be erroneous when spatiotemporal variability of air pollution and human mobility are ignored
Yoo Min Park and Mei-Po Kwan · 2017
Cited alongside, same era.
Trajectory recovery from ash: User privacy is not preserved in aggregated mobility data
Fengli Xu, Zhen Tu, Yong Li, Pengyu Zhang, Xiaoming Fu, and Depeng Jin · 2017
Cited alongside, same era.
Mingxiao Li, Song Gao, Feng Lu, Huan Tong, and Hengcai Zhang · 2019
Later among the works it cites.
Private trajectory data publication for trajectory classification
Huaijie Zhu, Xiaochun Yang, Bin Wang, Leixia Wang, and Wang-Chien Lee · 2019
Later among the works it cites.
GeoAI: Spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond, 2020
Krzysztof Janowicz, Song Gao, Grant McKenzie, Yingjie Hu, and Budhendra Bhaduri · 2020
Closest in time.
Multi-scale representation learning for spatial feature distributions using grid cells
Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, and Ni Lao · 2020
Closest in time.
Marc: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings
Lucas May Petry, Camila Silva, Andrea Esuli, Chiara Renso, and Vania Bogorny · 2020
Closest in time.