Algorithms for Sparse LPN and LSPN Against Low-noise

Explore advanced algorithmic approaches for solving Sparse Learning Parity with Noise (LPN) and Learning Sparse Parity with Noise (LSPN) problems in low-noise environments through this 51-minute conference talk from BIMSA's ICBS2025 symposium. Delve into the mathematical foundations and computational strategies for tackling these cryptographically relevant problems, examining how sparsity constraints affect the complexity and solvability of parity learning tasks when noise levels are minimal. Gain insights into the theoretical underpinnings of these algorithms, their practical implementations, and their implications for cryptographic security and computational complexity theory.