Paper restates robust membership inference for mean estimation
The attacks remain effective when released statistics are highly noisy, for Gaussians and binary products.
3 stories, newest first · one card per story
The attacks remain effective when released statistics are highly noisy, for Gaussians and binary products.
The method uses poly(d, k, 1/ε) samples and time under Gaussian inputs and L2 loss, without well-conditioned weight assumptions.
Researchers present a gap-free differentially private PCA algorithm for Gaussian data.
Today 1.5K readers · 2.4K views · 768 reads · all time 189K views