Welcome to the resource topic for
**2024/175**

**Title:**

Lossy Cryptography from Code-Based Assumptions

**Authors:**
Quang Dao, Aayush Jain

**Abstract:**

Over the past few decades, we have seen a proliferation of advanced cryptographic primitives with lossy or homomorphic properties built from various assumptions such as Quadratic Residuosity, Decisional Diffie-Hellman, and Learning with Errors. These primitives imply hard problems in the complexity class \mathcal{SZK} (statistical zero-knowledge); as a consequence, they can only be based on assumptions that are broken in \mathcal{BPP}^{\mathcal{SZK}}. This poses a barrier for building advanced primitives from code-based assumptions, as the only known such assumption is Learning Parity with Noise (LPN) with an extremely low noise rate \frac{\log^2 n}{n}, which is broken in quasi-polynomial time.

In this work, we propose a new code-based assumption: Dense-Sparse LPN, that falls in the complexity class \mathcal{BPP}^{\mathcal{SZK}} and is conjectured to be secure against subexponential time adversaries. Our assumption is a variant of LPN that is inspired by McElieceâ€™s cryptosystem and random $k\mbox{-}XOR in average-case complexity. Roughly, the assumption states that \[(\mathbf{T}\, \mathbf{M}, \mathbf{s} \,\mathbf{T}\, \mathbf{M} + \mathbf{e}) \quad \text{is indistinguishable from}\quad (\mathbf{T} \,\mathbf{M}, \mathbf{u}),\] for a random (dense) matrix \mathbf{T}, random sparse matrix \mathbf{M}, and sparse noise vector \mathbf{e}$ drawn from the Bernoulli distribution with inverse polynomial noise probability.

We leverage our assumption to build lossy trapdoor functions (Peikert-Waters STOC 08). This gives the first post-quantum alternative to the lattice-based construction in the original paper. Lossy trapdoor functions, being a fundamental cryptographic tool, are known to enable a broad spectrum of both lossy and non-lossy cryptographic primitives; our construction thus implies these primitives in a generic manner. In particular, we achieve collision-resistant hash functions with plausible subexponential security, improving over a prior construction from LPN with noise rate \frac{\log^2 n}{n} that is only quasi-polynomially secure.

**ePrint:**
https://eprint.iacr.org/2024/175

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