Yan Liang
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126
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2026
From Compression to Accountability: Harmless Copyright Protection for Dataset Distillation
The paper proposes SubPopMark, a novel subpopulation-driven framework that injects harmless, verifiable markers into distilled datasets to prevent copyright infringement and data leakage.
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Papers
cs.CRRecentMay 13, 2026
From Compression to Accountability: Harmless Copyright Protection for Dataset Distillation
Yan Liang, Ziyuan Yang, Mengyu Sun, Joey Tianyi Zhou +1 more
The paper proposes SubPopMark, a novel subpopulation-driven framework that injects harmless, verifiable markers into distilled datasets to prevent copyright infringement and data leakage.
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