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Hadamard Product Arguments and Their Applicationsopen access

Authors
Lee, KyeongtaeKo, HankyungOh, DonghwanKim, JihyeOh, Hyunok
Issue Date
May-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Vectors; Polynomials; Complexity theory; Scalability; Information systems; Faces; Cryptographic protocols; Costs; Blockchains; Aggregates; Zero-knowledge proof; pairing-based cryptography; SNARK; privacy
Citation
IEEE Access, v.13, pp 79736 - 79756
Pages
21
Indexed
SCIE
SCOPUS
Journal Title
IEEE Access
Volume
13
Start Page
79736
End Page
79756
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/207434
DOI
10.1109/ACCESS.2025.3566104
ISSN
2169-3536
2169-3536
Abstract
The Hadamard product (also known as element-wise multiplication) is a fundamental operation in linear algebra, performed by multiplying corresponding elements of two matrices with the same dimensions. This operation plays a crucial role in various fields, including cryptography, where it enables efficient and parallelizable computations on large datasets—particularly in the design of cryptographic protocols such as zero-knowledge proofs. In this paper, we propose a transparent and efficient method for proving the Hadamard product between vectors that are independently committed in the groups G1 and G2 under a pairing operation e : G1 ×G2 → GT . For a vector of length n, the prover has a complexity of Oλ(n), while the proof size is Oλ(log n). The verifier operates with a complexity of Oλ(log n), which includes O(log n) operations in GT and only O(1) pairing operations, making verification highly efficient. We prove the security of our scheme under the Symmetric External Diffie-Hellman (SXDH) assumption. Furthermore, we propose an aggregator for Groth16 (EUROCRYPT 2016) zk-SNARKs and a proof aggregation technique for the general case of the KZG polynomial commitment scheme (ASIACRYPT 2010), where all crs are distinct. Both applications do not require an additional trusted setup, support logarithmic-sized aggregated proofs, and significantly reduce the verifier’s pairing operations to O(1).
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