mlsanityData to 14 Oct 2026

A Survey of Privacy Vulnerabilities of Mobile Device Sensors

arXiv 2106.10154 ↗First posted 18 Jun 2021cs.HC cs.CRcited by 18

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Abstract (arXiv)

The number of mobile devices, such as smartphones and smartwatches, is relentlessly increasing to almost 6.8 billion by 2022, and along with it, the amount of personal and sensitive data captured by them. This survey overviews the state of the art of what personal and sensitive user attributes can be extracted from mobile device sensors, emphasising critical aspects such as demographics, health and body features, activity and behaviour recognition, etc. In addition, we review popular metrics in the literature to quantify the degree of privacy, and discuss powerful privacy methods to protect the sensitive data while preserving data utility for analysis. Finally, open research questions a represented for further advancements in the field.

Key facts. Cited by 18 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Jun 2021.

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Citing papers per year: 2021: 1; 2022: 9; 2023: 2; 2024: 2; 2025: 4.

18 papers.

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  1. 2022An Overview of Privacy-enhancing Technologies in Biometric Recognitioncited by 17
  2. 2022ECG Biometric Recognition: Review, System Proposal, and Benchmark Evaluationcited by 15
  3. 2022Exploring Transformers for Behavioural Biometrics: A Case Study in Gait Recognitioncited by 13
  4. 2024Is My Data in Your AI? Membership Inference Test (MINT) applied to Face Biometricscited by 13
  5. 2025The Eye of Sherlock Holmes: Uncovering User Private Attribute Profiling via Vision-Language Model Agentic Frameworkcited by 9
  6. 2021GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learningcited by 8
  7. 2022BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark Evaluationcited by 8
  8. 2022TypeFormer: Transformers for Mobile Keystroke Biometricscited by 7
  9. 2022Mobile Keystroke Biometrics Using Transformerscited by 6
  10. 2025Towards Generalizable Human Activity Recognition: A Surveycited by 6
  11. 2022IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)cited by 5
  12. 2023Keystroke Verification Challenge (KVC): Biometric and Fairness Benchmark Evaluationcited by 5
6 more
  1. 2022Mobile Behavioral Biometrics for Passive Authenticationcited by 4
  2. 2022BeCAPTCHA-Type: Biometric Keystroke Data Generation for Improved Bot Detectioncited by 3
  3. 2023AI4Food-NutritionFW: A Novel Framework for the Automatic Synthesis and Analysis of Eating Behaviourscited by 3
  4. 2024KVC-onGoing: Keystroke Verification Challengecited by 3
  5. 2025FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalitiescited by 3
  6. 2025Beyond Permissions: Investigating Mobile Personalization with Simulated Personascited by 0