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<p>The learning parity with noise (LPN) problem underlines several classic cryptographic primitives. Researchers have attempted to show the algorithmic difficulty of this problem by finding a reduction from the decoding problem of linear codes, for which several hardness results exist. Earlier studies used code smoothing as a technical tool to achieve such reductions for codes with vanishing rate. This has left open the question of attaining a reduction with positive-rate codes. Addressing this case, we characterize the efficiency of the reduction in terms of the parameters of the decoding and LPN problems. As a conclusion, we isolate the parameter regimes for which a meaningful reduction is possible and the regimes for which its existence is unlikely.</p>

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Limitations of the decoding-to-LPN reduction via code smoothing

  • 期刊论文

  • 发表日期：

    2025年3月22日

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  • Madhura Pathegama,
  • Alexander Barg

摘要

The learning parity with noise (LPN) problem underlines several classic cryptographic primitives. Researchers have attempted to show the algorithmic difficulty of this problem by finding a reduction from the decoding problem of linear codes, for which several hardness results exist. Earlier studies used code smoothing as a technical tool to achieve such reductions for codes with vanishing rate. This has left open the question of attaining a reduction with positive-rate codes. Addressing this case, we characterize the efficiency of the reduction in terms of the parameters of the decoding and LPN problems. As a conclusion, we isolate the parameter regimes for which a meaningful reduction is possible and the regimes for which its existence is unlikely.