PPAD is as Hard as LWE and Iterated Squaring
PPAD is as Hard as LWE and Iterated Squaring
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PPAD 与 LWE 和迭代平方一样困难
DOI:
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发表时间:
2022
期刊:
影响因子:
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通讯作者:
Ron D. Rothblum
中科院分区:
文献类型:
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作者:
Nir Bitansky;A. Choudhuri;Justin Holmgren;Chethan Kamath;Alex Lombardi;Omer Paneth;Ron D. Rothblum
One of the most fundamental results in game theory is that every finite strategic game has a Nash equilibrium, an assignment of (randomized) strategies to players with the stability property that no individual player can benefit from deviating from the assigned strategy. It is not known how to efficiently compute such a Nash equilibrium — the computational complexity of this task is characterized by the class PPAD, but the relation of PPAD to other problems and wellknown complexity classes is not precisely understood. In recent years there has been mounting evidence, based on cryptographic tools and techniques, showing the hardness of PPAD. We continue this line of research by showing that PPAD is as hard as learning with errors (LWE) and the iterated squaring (IS) problem, two standard problems in cryptography. Our work improves over prior hardness results that relied either on (1) sub-exponential assumptions, or (2) relied on “obfustopia,” which can currently be based on a particular combination of three assumptions. Our work additionally establishes public-coin hardness for PPAD (computational hardness for a publicly sampleable distribution of instances) that seems out of reach of the obfustopia approach. Following the work of Choudhuri et al. (STOC 2019) and subsequent works, our hardness result is obtained by constructing an unambiguous and incrementally-updatable succinct noninteractive argument for IS, whose soundness relies on polynomial hardness of LWE. The result also implies a verifiable delay function with unique proofs, which may be of independent interest. ∗Tel Aviv University. Email: nirbitan@tau.ac.il, ckamath@protonmail.com, omerpa@tauex.tau.ac.il †UC Berkeley. Email: arkarc@berkeley.edu ‡NTT Research. Email: justin.holmgren@ntt-research.com §MIT. Email: alexlombardi@alum.mit.edu ¶Technion. Email: rothblum@cs.technion.ac.il
影响因子:
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作者:
Fearnley, John;Gordon, Spencer;Mehta, Ruta;Savani, Rahul
通讯作者:
Savani, Rahul
DOI:
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发表时间:
2022
期刊:
TCC'22
影响因子:
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作者:
Cody Freitag, Rafael Pass
通讯作者:
Cody Freitag, Rafael Pass