Publication of Disseration
I am happy to announce that I finished and published my dissertation! Privacy-Preserving Analytics of Human Mobility Data – Investigating the Gap between State-Of-The-Art Privacy Methods and Real-Life Utility Requirements Abstract:In recent years, human mobility data has been increasingly collected and stored, mainly due to the ubiquitous use of smartphones, producing a constant stream of…
Animierte Webseite zur Veranschaulichung von Re-Identifizierungsrisiken von Mobilitätsdaten
Wie leicht kann eine Person in einem vermeintlich anonymisierten Datensatz identifiziert werden? Spoiler: ziemlich leicht. Wir haben das an einem echten Datensatz durchgespielt und zeigen, wie wir einen Kollegen mit wenigen Klicks in unserem Datensatz finden konnten. Das Ergebnis ist schön visualisiert hier sehen: https://reidentifikation.freemove.space/ Außerdem zeigen wir, wie der Grad der Anonymisierung berechnet werden…
Publication – Reconsidering Utility: Unveiling the Limitations of Synthetic Mobility Data Generation Algorithms in Real-Life Scenarios
We investigated the utility of five models that create synthetic urban mobility data from raw privacy-sensitive data. Tl;dr: synthetic trips do not provide the expected high flexibility and utility and should be used with care. https://dl.acm.org/doi/10.1145/3589132.3625661 Why synthetic data? Human movement data is highly sensitive, however, data sharing is desirable for many use cases, including…
Silver bullet or fool’s gold? A comprehensive survey on the utility and privacy of generative models for synthetic urban mobility data
What is synthetic data? Synthetic data is artificial data that mimics real data but the individual records are not those of actual people. It can be used to train AI models if there is not enough real data or to balance biased datasets. Lately, it is also seen as a chance to overcome privacy issues…
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Alexandra Kapp 