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Paper:

TR22-138 | 5th October 2022 21:44

Robustness for Space-Bounded Statistical Zero Knowledge

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TR22-138
Authors: Eric Allender, Jacob Gray, Saachi Mutreja, Harsha Tirumala, Pengxiang Wang
Publication: 5th October 2022 21:48
Downloads: 153
Keywords: 


Abstract:

We show that the space-bounded Statistical Zero Knowledge classes SZK_L and NISZK_L are surprisingly robust, in that the power of the verifier and simulator can be strengthened or weakened without affecting the resulting class. Coupled with other recent characterizations of these classes, this can be viewed as lending support to the conjecture that these classes may coincide with the non-space-bounded classes SZK and NISZK, respectively.



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