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, especially graph theory and algebraic geometry. Her current research interests lie in privacy-preserving data analytics with a strong focus on privacy-preserving trajectory data publishing with differential privacy guarantees.

Research Interests

  • Privacy preserving data publishing (e.g. trajectory privacy)
  • Differential Privacy Theory
  • Technical privacy notions with mathematically proven guarantees
  • Privacy notions on graph data
  • Topological privacy notions
Teaching
Title Type Semester
lecture summer of 2023
seminar summer of 2023
lecture summer of 2024
seminar summer of 2024
lecture summer of 2025
seminar summer of 2025
seminar winter 25/26
seminar winter of 2022/2023
seminar winter of 2023/2024
seminar winter of 2024/2025

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
Analysis of Topological Privacy Notions. master’s thesis
Haizmann, F.
2024, October 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000178921
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