Overcoming the Randomness-Utility Trade-off in Answering Differentially Private Linear Queries
arXiv:2609.02880v1 Announce Type: new Abstract: We study the question of answering linear queries with differential privacy using few (expected) random bits. We provide a randomness-efficient analog of the $\| \cdot \|_K$-norm mechanism of Hardt and Talwar [HT10]. For the $\ell_\infty$-error, our algorithm can answer $d$ linear queries with $O(d / \varepsilon)$ error using $O(\log d)$ random bits,