Projects per year
Abstract
Lattice-based cryptography is one of the most promising candidates for designing post-quantum cryptographic algorithms that resist emerging quantum computing attacks. The recent NIST PQC standardization process is nearing its completion, with practical lattice-based algorithms for basic cryptographic functionalities (namely digital signature and public-key encryption) selected for standardization in the near future. However, practical lattice-based solutions for more advanced privacy-preserving protocols, in particular, Zero-Knowledge Proofs (ZKPs), have only emerged recently and are an active area of research. We discuss some recent developments in design and analysis of practical lattice-based post-quantum ZKPs and their applications. In particular, we review some challenges that arise in designing ZKPs in the lattice setting and some recent progress on efficient lattice-based Schnorr-like proofs for important relations, such as binary/range proofs, one-out-of-many proofs and rounding proofs [1, 2, 4]. We discuss applications and optimization of such proof systems as building blocks for practical advanced cryptographic protocols such as ring signatures and balance proofs for privacy-preserving cryptocurrency payment protocols [2, 3]. We also discuss our recent work on succinct designated-verifier ZKPs (DV-ZKSNARKS) for verifying correctness of general delegated computations [5].
Original language | English |
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Pages | 1-1 |
Number of pages | 1 |
DOIs | |
Publication status | Published - 2023 |
Event | ACM Asia Public-Key Cryptography Workshop 2023 - Melbourne, Australia Duration: 10 Jul 2023 → 10 Jul 2023 Conference number: 10 https://dl.acm.org/doi/proceedings/10.1145/3591866 |
Workshop
Workshop | ACM Asia Public-Key Cryptography Workshop 2023 |
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Abbreviated title | APKC '23 |
Country/Territory | Australia |
City | Melbourne |
Period | 10/07/23 → 10/07/23 |
Internet address |
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Scalable & Accountable Privacy-Preserving Blockchain with Enhanced Security
Liu, J., Steinfeld, R. & Yu, J.
25/05/23 → 24/05/26
Project: Research
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Privacy-preserving Data Processing on the Cloud
Steinfeld, R., Pieprzyk, J. P., Liu, J., Desmedt, Y. & Wang, H.
20/06/18 → 30/06/24
Project: Research