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**2006/185**

**Title:**

Statistical Zero-Knowledge Arguments for NP from Any One-Way Function

**Authors:**
Minh-Huyen Nguyen, Shien Jin Ong, Salil Vadhan

**Abstract:**

We show that every language in NP has a *statistical* zero-knowledge argument system under the (minimal) complexity assumption that one-way functions exist. In such protocols, even a computationally unbounded verifier cannot learn anything other than the fact that the assertion being proven is true, whereas a polynomial-time prover cannot convince the verifier to accept a false assertion except with negligible probability. This resolves an open question posed by Naor, Ostrovsky, Venkatesan, and Yung (CRYPTO `92, J. Cryptology `

98). Departing from previous works on this problem, we do not construct standard statistically hiding commitments from any one-way function. Instead, we construct a relaxed variant of commitment schemes called “1-out-of-2-binding commitments,” recently introduced by Nguyen and Vadhan (STOC `06).

**ePrint:**
https://eprint.iacr.org/2006/185

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