Patricia Guerra Balboa

M. Sc. Patricia Guerra-Balboa

About the Scientist

Patricia Guerra-Balboa is a PhD student at the Chair of IT Security at KIT. She has a background in mathematics. Her current research interests lie in privacy-preserving data analysis with a strong focus on differential privacy and attack resilience.

Research interests:

  • Differential Privacy Theory
  • Attacks & Attack Resilience of Differential Privacy
  • Privacy Guarantees in Correlated Data
  • Privacy preserving data publishing (e.g. trajectory privacy)

Betreute Abschlussarbeiten

Title Qualification Graduation year
Measurement of Attack Resilience of Differential Privacy Master 2025
Utility of Semantic Privacy Notions for Correlated Data Master 2024
Analysis of Topological Privacy Notions Master 2024
Local Differential Privacy Trajectory Protection through Redundancy Reduction Bachelor 2024
Riemannian-based Clustering for Differential Private Location Publication Master 2023
Privacy Analysis of Deep Graph Generative Models using M.I.A.s Master 2023

Publications


Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
Lange, M.; Guerra-Balboa, P.; Parra-Arnau, J.; Strufe, T.
2025. Proceedings of the VLDB Endowment, 18 (11), 4090–4103. doi:10.14778/3749646.3749679
Unlocking the Potential of Composition for General Neighborhood Definitions
Miranda-Pascual, À.; Guerra-Balboa, P.; Parra-Arnau, J.; Strufe, T.
2024. Proceedings of the XVIII Spanish Meeting on Cryptology and Information Security (RECSI), León, 22th - 25st October, 2024
Analysis and Measurement of Attack Resilience of Differential Privacy
Guerra-Balboa, P.; Sauer, A.; Strufe, T.
2024. WPES ’24: Proceedings of the 23rd Workshop on Privacy in the Electronic Society. Ed.: E. Ayday, 155–171, Association for Computing Machinery (ACM). doi:10.1145/3689943.3695046
An Overview of Proposals towards the Privacy-Preserving Publication of Trajectory Data
Miranda-Pascual, À.; Guerra-Balboa, P.; Parra-Arnau, J.; Forné, J.; Strufe, T.
2024. International Journal of Information Security, 23 (6), 3711–3747. doi:10.1007/s10207-024-00894-0
Composition in Differential Privacy for General Granularity Notions
Guerra-Balboa, P.; Miranda-Pascual, À.; Parra-Arnau, J.; Strufe, T.
2024. 2024 IEEE 37th Computer Security Foundations Symposium (CSF), 8th-12th July 2024, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CSF61375.2024.00004
SoK: Differentially Private Publication of Trajectory Data
Miranda-Pascual, À.; Guerra-Balboa, P.; Parra-Arnau, J.; Forné, J.; Strufe, T.
2023. Proceedings on Privacy Enhancing Technologies, 496–516, De Gruyter. doi:10.56553/popets-2023-0065
La Publicación de Trayectorias: un Estudio sobre la Protección de la Privacidad
Guerra-Balboa, P.; Miranda-Pascual, À.; Parra-Arnau, J.; Forné, J.; Strufe, T.
2022. Proceedings of the XVII Spanish Meeting on Cryptology and Information Security (RECSI), Santader, 19th - 21st October, 2022. doi:10.22429/Euc2022.028
Anonymizing Trajectory Data: Limitations and Opportunities
Guerra-Balboa, P.; Miranda-Pascual, À.; Strufe, T.; Parra-Arnau, J.; Forné, J.
2022. AAAI Workshop on Privacy-Preserving Artificial Intelligence