3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Differentially Private Top-k Selection via Canonical Lipschitz Mechanism
Michael Shekelyan, Grigorios Loukides
Selecting the top- highest scoring items under differential privacy (DP) is a fundamental task with many applications. This work presents three new results. First, the exponenti…
cs.DB2022★ 3 cited
Weighted Random Sampling over Joins
Michael Shekelyan, Graham Cormode, Peter Triantafillou +2
Joining records with all other records that meet a linkage condition can result in an astronomically large number of combinations due to many-to-many relationships. For such challe…