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Erschienen in:
2020 | OriginalPaper | Buchkapitel
A Tight Parallel Repetition Theorem for Partially Simulatable Interactive Arguments via Smooth KL-Divergence
verfasst von : Itay Berman, Iftach Haitner, Eliad Tsfadia
Erschienen in: Advances in Cryptology – CRYPTO 2020
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Abstract
Hardness amplification is a central problem in the study of interactive protocols. While “natural” parallel repetition transformation is known to reduce the soundness error of some special cases of interactive arguments: three-message protocols (Bellare, Impagliazzo, and Naor [FOCS ’97]) and public-coin protocols (Håstad, Pass, Wikström, and Pietrzak [TCC ’10], Chung and Liu [TCC ’10] and Chung and Pass [TCC ’15]), it fails to do so in the general case (the above Bellare et al.; also Pietrzak and Wikström [TCC ’07]).
The only known round-preserving approach that applies to all interactive arguments is Haitner’s random-terminating transformation [SICOMP ’13], who showed that the parallel repetition of the transformed protocol reduces the soundness error at a weak exponential rate: if the original m-round protocol has soundness error \(1-\varepsilon \), then the n-parallel repetition of its random-terminating variant has soundness error \((1-\varepsilon )^{\varepsilon n{/}m^4}\) (omitting constant factors). Håstad et al. have generalized this result to partially simulatable interactive arguments, showing that the n-fold repetition of an m-round \(\delta \)-simulatable argument of soundness error \(1-\varepsilon \) has soundness error \((1-\varepsilon )^{\varepsilon \delta ^2 n{/}m^2}\). When applied to random-terminating arguments, the Håstad et al. bound matches that of Haitner.
In this work we prove that parallel repetition of random-terminating arguments reduces the soundness error at a much stronger exponential rate: the soundness error of the n parallel repetition is \((1-\varepsilon )^{n{/}m}\), only an m factor from the optimal rate of \((1-\varepsilon )^n\) achievable in public-coin and three-message arguments. The result generalizes to \(\delta \)-simulatable arguments, for which we prove a bound of \((1-\varepsilon )^{\delta n{/}m}\). This is achieved by presenting a tight bound on a relaxed variant of the KL-divergence between the distribution induced by our reduction and its ideal variant, a result whose scope extends beyond parallel repetition proofs. We prove the tightness of the above bound for random-terminating arguments, by presenting a matching protocol.
