High-Dimensional Asymptotics of Differentially Private PCA

arXiv:2511.07270v3 Announce Type: replace-cross Abstract: In differential privacy, random noise is introduced to privatize summary statistics of a sensitive dataset before releasing them. The noise level determines the privacy loss, which quantifies how easily an adversary can...

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