Li Zeyong
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2026
Hardness Amplification for (Sparse) LPN
The paper establishes new hardness amplification results for Learning Parity with Noise (LPN) and its sparse variants, showing that solving the problem on a small fraction of instances implies solving it on almost all instances.
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