Unbiased Locally Private Estimator for Polynomials of Laplacian Variables. - Quentin Hillebrand; Vorapong Suppakitpaisarn; Tetsuo Shibuya (KDD, 2023)

Local Differential Privacy for Number of Paths and Katz Centrality. - Louis Betzer; Vorapong Suppakitpaisarn; Quentin Hillebrand (CoRR, 2023)

Communication Cost Reduction for Subgraph Counting under Local Differential Privacy via Hash Functions. - Quentin Hillebrand; Vorapong Suppakitpaisarn; Tetsuo Shibuya (CoRR, 2023)

Publishing Number of Walks and Katz Centrality under Local Differential Privacy. - Louis Betzer; Vorapong Suppakitpaisarn; Quentin Hillebrand (UAI, 2024)

Counting Graphlets of Size k under Local Differential Privacy. - Vorapong Suppakitpaisarn; Donlapark Ponnoprat; Nicha Hirankarn; Quentin Hillebrand (AISTATS, 2025)

Facility Location Problem Under Local Differential Privacy Without Super-Set Assumption. - Kevin Pfisterer; Quentin Hillebrand; Vorapong Suppakitpaisarn (DBSec, 2025)

Cycle Counting Under Local Differential Privacy for Degeneracy-Bounded Graphs. - Quentin Hillebrand; Vorapong Suppakitpaisarn; Tetsuo Shibuya (STACS, 2025)

Counting Graphlets of Size k under Local Differential Privacy. - Vorapong Suppakitpaisarn; Donlapark Ponnoprat; Nicha Hirankarn; Quentin Hillebrand (CoRR, 2025)

Communication-Efficient Publication of Sparse Vectors under Differential Privacy. - Quentin Hillebrand; Vorapong Suppakitpaisarn; Tetsuo Shibuya (CoRR, 2025)