SecDVA: A Maliciously Secure Multi-Party Framework for Data Value Assessment in Modern Machine Learning Data Markets

Reported by arXiv cs.CR (Lixu Wang, Xinpeng Yang, Meng Hao, Guangyi Zhang, Tianwei Zhang, Wei Dong, Chenkai Weng)

Summary by Cyber Security News13 Nov 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2611.15373

arXiv:2611.15373v1 Announce Type: new Abstract: Data Value Assessment (DVA) plays a critical role in modern data markets by enabling buyers to evaluate how a seller's data would improve model performance before purchase. However, existing DVA approaches require one party to reveal the data or model, exposing participants to privacy leakage, strategic manipulation, and high deployment costs.

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