Hyperproofs: Aggregating and Maintaining Proofs in Vector Commitments


Shravan Srinivasan, University of Maryland; Alexander Chepurnoy, Ergo Platform; Charalampos Papamanthou, Yale University; Alin Tomescu, VMware Research; Yupeng Zhang, Texas A&M University


We present Hyperproofs, the first vector commitment (VC) scheme that is efficiently maintainable and aggregatable. Similar to Merkle proofs, our proofs form a tree that can be efficiently maintained: updating all n proofs in the tree after a single leaf change only requires O(logn) time. Importantly, unlike Merkle proofs, Hyperproofs are efficiently aggregatable, anywhere from 10× to 41× faster than SNARK-based aggregation of Merkle proofs. At the same time, an individual Hyperproof consists of only logn algebraic hashes (e.g., 32-byte elliptic curve points) and an aggregation of b such proofs is only O(log(blogn))-sized. Hyperproofs are also reasonably fast to update when compared to Merkle trees with SNARK-friendly hash functions.

As another benefit over Merkle trees, Hyperproofs are homomorphic: digests (and proofs) for two vectors can be homomorphically combined into a digest (and proofs) for their sum. Homomorphism is very useful in emerging applications such as stateless cryptocurrencies. First, it enables unstealability, a novel property that incentivizes proof computation. Second, it makes digests and proofs much more convenient to update.

Finally, Hyperproofs have certain limitations: they are not transparent, have linear-sized public parameters, are slower to verify, and have larger aggregated proofs and slower verification than SNARK-based approaches. Nonetheless, end-to-end, aggregation and verification in Hyperproofs is 10× to 41× faster than in SNARK-based Merkle trees.

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@inproceedings {279974,
author = {Shravan Srinivasan and Alexander Chepurnoy and Charalampos Papamanthou and Alin Tomescu and Yupeng Zhang},
title = {Hyperproofs: Aggregating and Maintaining Proofs in Vector Commitments},
booktitle = {31st USENIX Security Symposium (USENIX Security 22)},
year = {2022},
isbn = {978-1-939133-31-1},
address = {Boston, MA},
pages = {3001--3018},
url = {https://www.usenix.org/conference/usenixsecurity22/presentation/srinivasan},
publisher = {USENIX Association},
month = aug

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