Efficient and Near-Optimal Noise Generation for Streaming Differential Privacy

arXiv:2404.16706v1 Announce Type: cross
Abstract: In the task of differentially private (DP) continual counting, we receive a stream of increments and our goal is to output an approximate running total of these increments, without revealing too much about any specific increment. Despite its simplicity, differentially private continual counting has attracted significant attention both in theory and in practice. Existing algorithms for differentially private continual counting are either inefficient in terms of their space usage or add an excessive amount of …

arxiv cs.cc cs.cr cs.ds cs.lg differential privacy goal near noise privacy private running stream streaming task