PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking
Haiyu Deng, Yanna Jiang, Guangsheng Yu, Qin Wang, Xu Wang, Baihe Ma, Wei Ni, Ren Ping Liu

TL;DR
PoLO is a watermarking method that achieves high detection accuracy and privacy preservation, significantly reducing verification costs and resisting attacks with minimal resource overhead.
Contribution
This paper introduces PoLO, a novel chained watermarking scheme that combines proof-of-learning and proof-of-ownership efficiently and securely.
Findings
Achieves 99% watermark detection accuracy
Reduces verification costs to 1.5-10% of traditional methods
Maintains over 90% detection accuracy after attacks
Abstract
Our evaluation shows that PoLO achieves \textbf{99\%} watermark detection accuracy for ownership verification, while preserving data privacy and cutting verification costs to just \textbf{1.5--10\%} of traditional methods. Forging PoLO demands \textbf{1.1--4} more resources than honest proof generation, with the original proof retaining over \textbf{90\%} detection accuracy even after attacks.
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