Publications

Here I list my peer-reviewed publications, including their pdf and their resources when applicable (e.g., presentation, video-presentation, dataset, codes). The superscript * indicates equal contributions to the paper. You can also check out my ORCID and Google Scholar pages.

Journal Articles

SCImago Q1 Journal
Understanding Disclosure Risk in Differential Privacy with Applications to Noise Calibration and Auditing
Patricia Guerra-Balboa, Annika Sauer, Héber H. Arcolezi, Thorsten Strufe. In Proceedings of the VLDB Endowment 2026 (VLDB)
SCImago Q1 Journal
Balancing Privacy and Utility in Correlated Data: A Study of Bayesian Differential Privacy
Martin Lange *, Patricia Guerra-Balboa *, Javier Parra-Arnau, Thorsten Strufe. In Proceedings of the VLDB Endowment 2025 (VLDB)
SCImago Journal & Country Rank
An overview of proposals towards the privacy-preserving publication of trajectory data
Alex Miranda-Pascual * , Patricia Guerra-Balboa * , Javier Parra-Arnau, Jordi Forné, Thorsten Strufe, In In International Journal of Information Security (IJIS)

Conference Papers

Composition in Differential Privacy for General Granularity Notions
Patricia Guerra-Balboa *, Alex Miranda-Pascual *, Javier Parra-Arnau, Thorsten Strufe. In 2024 IEEE 37th Computer Security Foundations Symposium (CSF)
SoK: Differentially Private Publication of Trajectory Data
Alex Miranda-Pascual, Patricia Guerra-Balboa, Javier Parra-Arnau, Jordi Forné, Thorsten Strufe. In Proceedings on Privacy Enhancing Technologies

Workshop Papers

Analysis and Measurement of Attack Resilience of Differential Privacy
Patricia Guerra-Balboa, Annika Sauer, Thorsten Strufe. In Proceedings of the 23rd Workshop on Privacy in the Electronic Society (WPES '24), Salt Lake City, UT, USA. Pages 155–171.
Anonymizing Trajectory Data: Limitations and Opportunities
Patricia Guerra-Balboa, Alex Miranda-Pascual, Javier Parra-Arnau, Jordi Forné, Thorsten Strufe. In Proceddings of the Third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22).