English(EN) Can R\'enyi Accountants Beat Lossless Accountants for DP-SGD?

Rényi DP会计师在DP-SGD方面显示出改进的隐私保证

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-14 04:00

一篇新的研究论文探讨了Rényi DP会计师在差分隐私随机梯度下降（DP-SGD）中的有效性。研究观察到，Rényi DP可以利用与无损框架不同的最坏情况分布对，特别是二维高斯混合模型。数值和渐近比较表明，这种改进的Rényi DP界限可以在各种超参数设置下提供更优越的隐私保证。 AI

影响这项研究可能带来更有效和高效的隐私保护机器学习技术。

排序理由在arXiv上发表的研究论文，详细介绍了一种新的差分隐私会计方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv stat.ML TIER_1 English(EN) · Jinho Bok · 2026-10-14 04:00

R\'enyi 账户能否在 DP-SGD 上击败无损账户？

arXiv:2610.17120v1 Announce Type: cross Abstract: Recent frameworks in differential privacy (DP), such as privacy loss distributions and $f$-DP, provide lossless representations of the privacy leakage of mechanisms. These approaches are often considered to yield tighter $(\vareps…