AI RESEARCH

PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking

arXiv CS.AI

ArXi:2505.12296v2 Announce Type: replace-cross 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$\times$} resources than honest proof generation, with the original proof retaining over \textbf{90\%} detection accuracy even after attacks.