English(EN) Spectrum-Aware Bounds on Invertibility for Privacy-Enhancing Instance Encoding

新的频谱感知界限增强了隐私保护数据编码

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-26 04:00

研究人员开发了新的频谱感知界限，以改进隐私增强实例编码技术的理论保证。这些新界限比以前的方法更严格，适用于确定性和随机编码器，并且可以扩展到均方误差以外的其他基于范数的相似性度量。这些界限的有效性在各种编码器、数据集和攻击场景中得到了证明，显示出与现有理论结果一致的性能和改进。 AI

影响增强了数据共享中隐私保护技术理论理解和实际应用。

排序理由该集群包含一篇详细介绍隐私增强实例编码新理论界限的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Seokjin Hwang, Yuting Li, Kiwan Maeng · 2026-08-26 04:00

面向隐私增强实例编码的频谱感知可逆性界限

arXiv:2608.23382v2 Announce Type: replace Abstract: Instance encoding is a popular empirical technique for privacy enhancement when sharing data to an untrusted server. It transforms sensitive data through an encoding process before sharing, with the hope that the encoding proces…