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BalanceProofs: Maintainable Vector Commitments with Fast Aggregation
Weijie Wang, Annie Ulichney, Charalampos Papamanthou
Abstract
We present BalanceProofs, the first vector commitment that is maintainable (i.e., supporting sublinear updates) while also enjoying fast proof aggregation and verification. The basic version of BalanceProofs has O( √ n log n) update time and O( √ n) query time and its constant-size aggregated proofs can be produced and verified in milliseconds. In particular, Bal-anceProofs improves the aggregation time and aggregation verification time of the only known maintainable and aggregatable vector commitment scheme, Hyperproofs (USENIX SECURITY 2022), by up to 1000× and up to 100× respectively. Fast verification of aggregated proofs is particularly useful for applications such as stateless cryptocurrencies (and was a major bottleneck for Hyperproofs), where an aggregated proof of balances is produced once but must be verified multiple times and by a large number of nodes. As a limitation, the updating time in BalanceProofs compared to Hyperproofs is roughly 6× slower, but always stays in the range from 10 to 18 milliseconds. We finally study useful tradeoffs in Bal-anceProofs between (aggregate) proof size, update time and (aggregate) proof computation and verification, by introducing a bucketing technique, and present an extensive evaluation as well as a comparison to Hyperproofs.
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Install the CLIlune papers fulltext b70070bc-4f7b-4610-b239-55440f962abcCited by top-tier papers4
- Reckle Trees: Updatable Merkle Batch Proofs with ApplicationsCharalampos Papamanthou, Shravan Srinivasan, Nicolas Gailly, Ismael Hishon-Rezaizadeh et al.CCS 2024 · 8 citations
- Distributed Vector Commitments and Their ApplicationsRui Gao, Huaqun Wang, Zhiguo Wan, Yuncong HuUSENIX Security 2026
- Cauchyproofs: Batch-Updatable Vector Commitment with Easy Aggregation and Application to Stateless BlockchainsZhongtang Luo, Yanxue Jia, Alejandra Victoria Ospina Gracia, Aniket KateS&P 2025
- HydraProofs: Optimally Computing All Proofs in a Vector Commitment (With Applications to Efficient zkSNARKs Over Data from Multiple Users)Christodoulos Pappas, Dimitrios Papadopoulos, Charalampos PapamanthouS&P 2025
Builds on5
- vSQL: Verifying Arbitrary SQL Queries over Dynamic Outsourced DatabasesYupeng Zhang, Daniel Genkin, Jonathan Katz, Dimitrios Papadopoulos et al.S&P 2017 · 206 citations
- Towards Scalable Threshold CryptosystemsAlin Tomescu, Robert Chen, Yiming Zheng, Ittai Abraham et al.S&P 2020 · 102 citations
- vRAM: Faster Verifiable RAM with Program-Independent PreprocessingYupeng Zhang, Daniel Genkin, Jonathan Katz, Dimitrios Papadopoulos et al.S&P 2018 · 70 citations
- Pointproofs: Aggregating Proofs for Multiple Vector CommitmentsSergey Gorbunov, Leonid Reyzin, Hoeteck Wee, Zhenfei ZhangCCS 2020 · 5 citations
- Hyperproofs: Aggregating and Maintaining Proofs in Vector CommitmentsShravan Srinivasan, Alexander Chepurnoy, Charalampos Papamanthou, Alin Tomescu et al.USENIX Security 2022
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