Suche mittels Attribut

Diese Seite stellt eine einfache Suchoberfläche zum Finden von Objekten bereit, die ein Attribut mit einem bestimmten Datenwert enthalten. Andere verfügbare Suchoberflächen sind die Attributsuche sowie der Abfragengenerator.

Suche mittels Attribut

Eine Liste aller Seiten, die das Attribut „Kurzfassung“ mit dem Wert „Differential privacy is the current standard framework in privacy-preserving data analysis. However, it presumes that data values are not correlated. Specifically, adversaries that are aware of data correlations can use this information to infer user’s sensitive information from differential private statistics. However, data correlations are frequent. In particular, values of time series like energy consumption measurements are frequently highly temporally correlated. In this thesis, we first introduce and critically review the notation of dependent differential privacy (DDP) introduced by Liu at. al (2016), which is a differential-privacy like privacy definition for spatially correlated data. Second, we adapt this notation and the respective privacy mechanisms to temporally correlated data. We evaluate our adaption on a real-world energy consumption time series showing that our mechanism outperforms the baseline approach. We conclude this work by stating in which direction the improvements of the mechanism might be done.“ haben. Weil nur wenige Ergebnisse gefunden wurden, werden auch ähnliche Werte aufgelistet.

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Liste der Ergebnisse

    • Towards Differential Privacy for Correlated Time Series  + (Differential privacy is the current standa … Differential privacy is the current standard framework in privacy-preserving data analysis. However, it presumes that data values are not correlated. Specifically, adversaries that are aware of data correlations can use this information to infer user’s sensitive information from differential private statistics. However, data correlations are frequent. In particular, values of time series like energy consumption measurements are frequently highly temporally correlated. In this thesis, we first introduce and critically review the notation of dependent differential privacy (DDP) introduced by Liu at. al (2016), which is a differential-privacy like privacy definition for spatially correlated data. Second, we adapt this notation and the respective privacy mechanisms to temporally correlated data. We evaluate our adaption on a real-world energy consumption time series showing that our mechanism outperforms the baseline approach. We conclude this work by stating in which direction the improvements of the mechanism might be done.provements of the mechanism might be done.)
    Abgerufen von „https://sdq.kastel.kit.edu/institutsseminar/Spezial:Suche_mittels_Attribut“