EDBT 2026 Demo / reviewers in the wild / expert
Aurelia Tamò-Larrieux
dblp:243/1766 · also Aurelia Tamò
· DBLP profile ↗
6ranked-venue papers
1as first author
4since 2021 · last 2025
0000-0003-3404-7643ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 6 · 1 first-author · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Addressing the Address Books' (Interdependent) Privacy Issues
Kavous Salehzadeh Niksirat, Lev Velykoivanenko, Samuel Mätzler, Stephan Mulders, Aurelia Tamò-Larrieux, Marc-Olivier Boldi, Mathias Humbert, Kévin Huguenin |
USENIX Security Symposium | 5 |
| 2024 | Discrimination for the sake of fairness by design and its legal framework
Holly Hoch, Corinna Hertweck, Michele Loi, Aurelia Tamò-Larrieux |
Comput. Law Secur. Rev. | 4 |
| 2021 | Towards Privacy-Friendly Smart ProductsabstractSmart products, such as toy robots, must comply with multiple legal requirements of the countries they are sold and used in. Currently, compliance with the legal environment requires manually customizing products for different markets. In this paper, we explore a design approach for smart products that enforces compliance with aspects of the European Union’s data protection principles within a product’s firmware through a toy robot case study. To this end, we present an exchange between computer scientists and legal scholars that identified the relevant data flows, their processing needs, and the implementation decisions that could allow a device to operate while complying with the EU data protection law. By designing a data-minimizing toy robot, we show that the variety, amount, and quality of data that is exposed, processed, and stored outside a user’s premises can be considerably reduced while preserving the device’s functionality. In comparison with a robot designed using a traditional approach, in which 90% of the collected types of information are stored by the data controller or a remote service, our proposed design leads to the mandatory exposure of only 7 out of 15 collected types of information, all of which are legally required by the data controller to demonstrate consent. Moreover, our design is aligned with the Data Privacy Vocabulary, which enables the toy robot to cross geographic borders and seamlessly adjust its data processing activities to the local regulations. Kimberly García, Zaira Zihlmann, Simon Mayer, Aurelia Tamò-Larrieux, Johannes Hooss |
PST | 4 |
| 2021 | Decision-making by machines: Is the 'Law of Everything' enough?
Aurelia Tamò-Larrieux |
Comput. Law Secur. Rev. | 1 |
| 2020 | The chilling effects of algorithmic profiling: Mapping the issues
Moritz Büchi, Eduard Fosch-Villaronga, Christoph Lutz, Aurelia Tamò-Larrieux, Shruthi Velidi, Salomé Viljöen |
Comput. Law Secur. Rev. | 4 |
| 2020 | Privacy and security by design: Comparing the EU and Israeli approaches to embedding privacy and security
Eldar Haber, Aurelia Tamò-Larrieux |
Comput. Law Secur. Rev. | 2 |