mlsanityData to 14 Oct 2026

LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection

arXiv 2006.10521 ↗First posted 14 Jun 2020cs.LG cs.AI cs.CRcited by 57

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Abstract (arXiv)

The prevalence of location-based services contributes to the explosive growth of individual-level trajectory data and raises public concerns about privacy issues. In this research, we propose a novel LSTM-TrajGAN approach, which is an end-to-end deep learning model to generate privacy-preserving synthetic trajectory data for data sharing and publication. We design a loss metric function TrajLoss to measure the trajectory similarity losses for model training and optimization. The model is evaluated on the trajectory-user-linking task on a real-world semantic trajectory dataset. Compared with other common geomasking methods, our model can better prevent users from being re-identified, and it also preserves essential spatial, temporal, and thematic characteristics of the real trajectory data. The model better balances the effectiveness of trajectory privacy protection and the utility for spatial and temporal analyses, which offers new insights into the GeoAI-powered privacy protection.

Key facts. Cited by 57 papers in the map (data through 14 Oct 2026). First posted on arXiv 14 Jun 2020.

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Citing papers per year: 2020: 1; 2021: 4; 2022: 5; 2023: 12; 2024: 14; 2025: 9; 2026: 12.

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  1. 2023On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligencecited by 88
  2. 2023CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representationscited by 69
  3. 2021A Review of Location Encoding for GeoAI: Methods and Applicationscited by 54
  4. 2020TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learningcited by 47
  5. 2023Sphere2Vec: A General-Purpose Location Representation Learning over a Spherical Surface for Large-Scale Geospatial Predictionscited by 39
  6. 2024TorchSpatial: A Location Encoding Framework and Benchmark for Spatial Representation Learningcited by 31
  7. 2022Towards General-Purpose Representation Learning of Polygonal Geometriescited by 22
  8. 2024Be More Real: Travel Diary Generation Using LLM Agents and Individual Profilescited by 22
  9. 2021Generative Adversarial Networks: A Survey Towards Private and Secure Applicationscited by 15
  10. 2024Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunitiescited by 14
  11. 2024Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applicationscited by 13
  12. 2023Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Modelscited by 12
38 more
  1. 2025GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generationcited by 12
  2. 2024MobilityGPT: Enhanced Human Mobility Modeling with a GPT modelcited by 11
  3. 2024Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priorscited by 8
  4. 2025Generative AI for Autonomous Driving: Frontiers and Opportunitiescited by 7
  5. 2023CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approachescited by 6
  6. 2024MobilityDL: A Review of Deep Learning From Trajectory Datacited by 6
  7. 2024SoK: Can Trajectory Generation Combine Privacy and Utility?cited by 6
  8. 2021GANmapper: geographical data translationcited by 5
  9. 2026TrajFlow: Nation-wide Pseudo GPS Trajectory Generation with Flow Matching Modelscited by 5
  10. 2023Artificial Intelligence Studies in Cartography: A Review and Synthesis of Methods, Applications, and Ethicscited by 4
  11. 2025Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusioncited by 4
  12. 2022STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguitycited by 3
  13. 2024FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncodercited by 3
  14. 2024DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testingcited by 3
  15. 2022Privacy-Aware Human Mobility Prediction via Adversarial Networkscited by 2
  16. 2022Privacy-Aware Adversarial Network in Human Mobility Predictioncited by 2
  17. 2023Survey of Federated Learning Models for Spatial-Temporal Mobility Applicationscited by 2
  18. 2023Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendationcited by 2
  19. 2023Jointly spatial-temporal representation learning for individual trajectoriescited by 2
  20. 2025Scalable Trajectory-User Linking with Dual-Stream Representation Networkscited by 2
  21. 2025Towards Physics-informed Diffusion for Anomaly Detection in Trajectoriescited by 2
  22. 2026Bus-Conditioned Zero-Shot Trajectory Generation via Task Arithmeticcited by 2
  23. 2022Trajectory-User Linking Is Easier Than You Thinkcited by 1
  24. 2023Analysing Fairness of Privacy-Utility Mobility Modelscited by 1
  25. 2024Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Datacited by 1
  26. 2025Learning to Attack: Uncovering Privacy Risks in Sequential Data Releasescited by 1
  27. 2026A Dual Perspective on Synthetic Trajectory Generators: Utility Framework and Privacy Vulnerabilitiescited by 1
  28. 2021Deep Learning based Urban Vehicle Trajectory Analyticscited by 0
  29. 2023Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyondcited by 0
  30. 2023Artificial Intelligence and Human Geographycited by 0
  31. 2024Synthetic Trajectory Generation Through Convolutional Neural Networkscited by 0
  32. 2024Discovering Cyclists' Visual Preferences Through Shared Bike Trajectories and Street View Images Using Inverse Reinforcement Learningcited by 0
  33. 2024Restoring Super-High Resolution GPS Mobility Datacited by 0
  34. 2025What is the Cost of Differential Privacy for Deep Learning-Based Trajectory Generation?cited by 0
  35. 2025Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learningcited by 0
  36. 2025A Neural ODE Approach to Aircraft Flight Dynamics Modellingcited by 0
  37. 2026Geography According to ChatGPT -- How Generative AI Represents and Reasons about Geographycited by 0
  38. 2026TrajGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representationscited by 0

50 most cited of 57 All 57 (JSON)