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Shorter Quasi-Adaptive NIZK Proofs for Linear Subspaces
2016
Journal of Cryptology
We define a novel notion of quasi-adaptive non-interactive zero knowledge (NIZK) proofs for probability distributions on parametrized languages. It is quasi-adaptive in the sense that the common reference string (CRS) generator can generate the CRS depending on the parameters defining the language. However, the simulation is required to be uniform, i.e., a single efficient simulator should work for the whole class of parametrized languages. For distributions on languages that are linear
doi:10.1007/s00145-016-9243-7
fatcat:gibzzoyztfdgzdtimggehepkgu