2 citations · 2 across the 10 of their papers we have counts for
3 papers · 1 filter
Decisive Margins in Differentially Private Voting
Quentin Hillebrand, Pasin Manurangsi, Vorapong Suppakitpaisarn +1
Differential privacy protects individual voting records by injecting randomness into the published outcome, but this noise can lead to erroneous results when an election is close.…
Publishing Below-Threshold Triangle Counts under Local Weight Differential Privacy
Kevin Pfisterer, Quentin Hillebrand, Vorapong Suppakitpaisarn
We propose an algorithm for counting below-threshold triangles in weighted graphs under local weight differential privacy. While prior work has largely focused on unweighted graphs…
Improved Differentially Private Algorithms for Rank Aggregation
Quentin Hillebrand, Pasin Manurangsi, Vorapong Suppakitpaisarn +1
Rank aggregation is a task of combining the rankings of items from multiple users into a single ranking that best represents the users' rankings. Alabi et al. (AAAI'22) presents di…