@article{oai:ipsj.ixsq.nii.ac.jp:00216393,
 author = {Makoto, Nakamura and Takeshi, Miyamae and Masanobu, Morinaga and Makoto, Nakamura and Takeshi, Miyamae and Masanobu, Morinaga},
 issue = {2},
 journal = {情報処理学会論文誌},
 month = {Feb},
 note = {We propose a privacy-preserving scheme to outsource zero-knowledge proof generation to a party that we call a worker. Our scheme can be applied to zk-SNARKs with a trusted setup, zero-knowledge proofs deployed in many applications. Compared to known privacy-preserving outsourcing schemes, our scheme is more practical in the sense that the computational and memory load on the worker is almost the same as that on the prover in cases where the provers generate proofs on their own.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.30(2022) (online)
DOI　http://dx.doi.org/10.2197/ipsjjip.30.151
------------------------------, We propose a privacy-preserving scheme to outsource zero-knowledge proof generation to a party that we call a worker. Our scheme can be applied to zk-SNARKs with a trusted setup, zero-knowledge proofs deployed in many applications. Compared to known privacy-preserving outsourcing schemes, our scheme is more practical in the sense that the computational and memory load on the worker is almost the same as that on the prover in cases where the provers generate proofs on their own.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.30(2022) (online)
DOI　http://dx.doi.org/10.2197/ipsjjip.30.151
------------------------------},
 title = {A Privacy-preserving Outsourcing Scheme for Zero-knowledge Proof Generation},
 volume = {63},
 year = {2022}
}