Collection, usage and privacy of mobility data in the enterprise and public administrations
Fuente:
arXiv
Enregistré dans:
| Auteur principal: | Kapp, Alexandra |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Reconsidering utility: unveiling the limitations of synthetic mobility data generation algorithms in real-life scenarios
par: Kapp, Alexandra, et autres
Publié: (2024)
par: Kapp, Alexandra, et autres
Publié: (2024)
Publishing Wikipedia usage data with strong privacy guarantees
par: Adeleye, Temilola, et autres
Publié: (2023)
par: Adeleye, Temilola, et autres
Publié: (2023)
Investigating Vulnerabilities of GPS Trip Data to Trajectory-User Linking Attacks
par: Ströbl, Benedikt, et autres
Publié: (2025)
par: Ströbl, Benedikt, et autres
Publié: (2025)
Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review
par: Kapp, Alexandra, et autres
Publié: (2024)
par: Kapp, Alexandra, et autres
Publié: (2024)
MultiBallot: Verifiable and privacy-preserving E-Collecting in the Swiss setting
par: Moser, Florian, et autres
Publié: (2026)
par: Moser, Florian, et autres
Publié: (2026)
Advancing privacy in learning analytics using differential privacy
par: Liu, Qinyi, et autres
Publié: (2025)
par: Liu, Qinyi, et autres
Publié: (2025)
LLMs on support of privacy and security of mobile apps: state of the art and research directions
par: Nguyen, Tran Thanh Lam, et autres
Publié: (2025)
par: Nguyen, Tran Thanh Lam, et autres
Publié: (2025)
Modeling interdependent privacy threats
par: Liu, Shuaishuai, et autres
Publié: (2025)
par: Liu, Shuaishuai, et autres
Publié: (2025)
Federated learning with differential privacy and an untrusted aggregator
par: Liu, Kunlong, et autres
Publié: (2023)
par: Liu, Kunlong, et autres
Publié: (2023)
Optimal partition selection with Rényi differential privacy
par: Harrison, Charlie, et autres
Publié: (2026)
par: Harrison, Charlie, et autres
Publié: (2026)
RIOT-based smart metering system for privacy-preserving data aggregation using watermarking and encryption
par: Kabir, Farzana, et autres
Publié: (2025)
par: Kabir, Farzana, et autres
Publié: (2025)
Cryptoscope: Analyzing cryptographic usages in modern software
par: Moffie, Micha, et autres
Publié: (2025)
par: Moffie, Micha, et autres
Publié: (2025)
Emission Impossible: privacy-preserving carbon emissions claims
par: Man, Jessica, et autres
Publié: (2025)
par: Man, Jessica, et autres
Publié: (2025)
Tangent differential privacy
par: Ying, Lexing
Publié: (2024)
par: Ying, Lexing
Publié: (2024)
Accountable authentication with privacy protection: The Larch system for universal login
par: Dauterman, Emma, et autres
Publié: (2023)
par: Dauterman, Emma, et autres
Publié: (2023)
Lockcoin: a secure and privacy-preserving mix service for bitcoin anonymity
par: Bao, Zijian, et autres
Publié: (2018)
par: Bao, Zijian, et autres
Publié: (2018)
A privacy preserving querying mechanism with high utility for electric vehicles
par: Atmaca, Ugur Ilker, et autres
Publié: (2022)
par: Atmaca, Ugur Ilker, et autres
Publié: (2022)
Balancing the privacy-utility trade-off: How to draw reliable conclusions from private data
par: de Fondeville, Raphaël
Publié: (2026)
par: de Fondeville, Raphaël
Publié: (2026)
Showcasing standards and approaches for cybersecurity, safety, and privacy issues in connected and autonomous vehicles
par: Czekster, Ricardo M.
Publié: (2025)
par: Czekster, Ricardo M.
Publié: (2025)
Generative Large Language Model usage in Smart Contract Vulnerability Detection
par: Ince, Peter, et autres
Publié: (2025)
par: Ince, Peter, et autres
Publié: (2025)
Towards a decentralized data privacy protocol for self-sovereignty in the digital world
par: Falcão, Rodrigo, et autres
Publié: (2024)
par: Falcão, Rodrigo, et autres
Publié: (2024)
An interdisciplinary exploration of trade-offs between energy, privacy and accuracy aspects of data
par: de Reus, Pepijn, et autres
Publié: (2024)
par: de Reus, Pepijn, et autres
Publié: (2024)
H-LPS: a hybrid approach for user's location privacy in location-based services
par: Sabir, Sonia, et autres
Publié: (2022)
par: Sabir, Sonia, et autres
Publié: (2022)
Flexible and scalable privacy assessment for very large datasets, with an application to official governmental microdata
par: Alvim, Mário S., et autres
Publié: (2022)
par: Alvim, Mário S., et autres
Publié: (2022)
On the differential privacy of dynamic location obfuscation with personalized error bounds
par: Shun, Zhang, et autres
Publié: (2021)
par: Shun, Zhang, et autres
Publié: (2021)
A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow
par: Alvim, Mário S., et autres
Publié: (2023)
par: Alvim, Mário S., et autres
Publié: (2023)
Publicly auditable privacy-preserving electoral rolls
par: Agrawal, Prashant, et autres
Publié: (2024)
par: Agrawal, Prashant, et autres
Publié: (2024)
Differential privacy for symmetric log-concave mechanisms
par: Vinterbo, Staal A.
Publié: (2022)
par: Vinterbo, Staal A.
Publié: (2022)
Can sparsity improve the privacy of neural networks?
par: Gonon, Antoine, et autres
Publié: (2023)
par: Gonon, Antoine, et autres
Publié: (2023)
Sketches-based join size estimation under local differential privacy
par: Zhang, Meifan, et autres
Publié: (2024)
par: Zhang, Meifan, et autres
Publié: (2024)
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity
par: Jiménez-López, Daniel, et autres
Publié: (2025)
par: Jiménez-López, Daniel, et autres
Publié: (2025)
Limits of privacy amplification against non-signalling memory attacks
par: Arnon, Rotem, et autres
Publié: (2012)
par: Arnon, Rotem, et autres
Publié: (2012)
Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets
par: Palacios, Milton Nicolás Plasencia, et autres
Publié: (2025)
par: Palacios, Milton Nicolás Plasencia, et autres
Publié: (2025)
Differential privacy and Sublinear time are incompatible sometimes
par: Blocki, Jeremiah, et autres
Publié: (2024)
par: Blocki, Jeremiah, et autres
Publié: (2024)
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration
par: Imakura, Akira, et autres
Publié: (2024)
par: Imakura, Akira, et autres
Publié: (2024)
Can large language models be privacy preserving and fair medical coders?
par: Dadsetan, Ali, et autres
Publié: (2024)
par: Dadsetan, Ali, et autres
Publié: (2024)
Reexamination of the realtime protection for user privacy in practical quantum private query
par: Wei, Chun-Yan, et autres
Publié: (2024)
par: Wei, Chun-Yan, et autres
Publié: (2024)
Metric geometry of the privacy-utility tradeoff
par: Boedihardjo, March, et autres
Publié: (2024)
par: Boedihardjo, March, et autres
Publié: (2024)
Cybersecurity competence of older adult users of mobile devices
par: Vrhovec, Simon, et autres
Publié: (2024)
par: Vrhovec, Simon, et autres
Publié: (2024)
An information theorist's tour of differential privacy
par: Sarwate, Anand D., et autres
Publié: (2025)
par: Sarwate, Anand D., et autres
Publié: (2025)
Documents similaires
-
Reconsidering utility: unveiling the limitations of synthetic mobility data generation algorithms in real-life scenarios
par: Kapp, Alexandra, et autres
Publié: (2024) -
Publishing Wikipedia usage data with strong privacy guarantees
par: Adeleye, Temilola, et autres
Publié: (2023) -
Investigating Vulnerabilities of GPS Trip Data to Trajectory-User Linking Attacks
par: Ströbl, Benedikt, et autres
Publié: (2025) -
Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review
par: Kapp, Alexandra, et autres
Publié: (2024) -
MultiBallot: Verifiable and privacy-preserving E-Collecting in the Swiss setting
par: Moser, Florian, et autres
Publié: (2026)