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Bibliographische Detailangaben
Hauptverfasser: Christiansen, Aleksander B. G., Rotenberg, Eva, Steiner, Teresa Anna, Vlieghe, Juliette
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2404.18692
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Inhaltsangabe:
  • Differential privacy is the gold standard in the problem of privacy preserving data analysis, which is crucial in a wide range of disciplines. Vertex colouring is one of the most fundamental questions about a graph. In this paper, we study the vertex colouring problem in the differentially private setting. To be edge-differentially private, a colouring algorithm needs to be defective: a colouring is d-defective if a vertex can share a colour with at most d of its neighbours. Without defectiveness, the only differentially private colouring algorithm needs to assign n different colours to the n different vertices. We show the following lower bound for the defectiveness: a differentially private c-edge colouring algorithm of a graph of maximum degree Δ > 0 has defectiveness at least d = Ω (log n / (log c+log Δ)). We also present an ε-differentially private algorithm to Θ ( Δ / log n + 1 / ε)-colour a graph with defectiveness at most Θ(log n).