Highlights
The Spartan zkSNARK framework
- https://alinush.github.io/spartan
zkPDF: Unlocking Verifiable Data in the World's Most Popular Document Format
- https://pse.dev/blog/zkpdf-unlocking-verifiable-data
Additive FFT: background
- https://blog.lambdaclass.com/additive-fft-background/
Get ahead with quantum-secure cryptography
本文介绍了在特征为 2 的域中,基于 Cantor 的加法 FFT 算法,用于多项式评估和插值,解决了传统 FFT 在有限域中的局限性,为 Reed-Solomon 编码和多项式承诺提供了高效实现。
- https://developer.apple.com/videos/play/wwdc2025/314/
GKR: Sumcheck's best friend
GKR 协议是基于 Sumcheck 的交互式证明系统,用于验证分层算术电路的计算正确性,通过递归应用 Sumcheck 协议,从输出层回溯到输入层,高效验证计算过程。
- https://blog.electisec.com/gkr
Updates
ZisK
ZisK is an open-source zero-knowledge proving toolstack featuring a zkVM that enables verifiable execution of programs written in high-level languages like Rust
World-leaders in Cryptography: Ralph Merkle
- https://www.youtube.com/watch?v=90py3KBhZWs
《数学之美》01 潘承洞和他的学生们:探索数学的奇妙世界 破解哥德巴赫猜想 点燃科技的未来!【CCTV 纪录】
- https://www.youtube.com/watch?v=UbzxQUpLfZw
Papers
Speeding Up Sum-Check Proving
这篇文章结合并拓展了两个先前预印本(2024/1046 和 2024/1210)中的研究成果,围绕 Sumcheck 协议在若干常见应用场景中的优化展开讨论。具体而言,文章提出了两种优化策略:(1)针对多项式求值结果均为较小数值的场景;(2)针对进行 Zerocheck 操作的场景。实验表明,这些优化在实际应用中可实现 2 至 3 倍的运行加速,并显著减少内存开销。
- https://eprint.iacr.org/2025/1117
Toxic Decoys: A Path to Scaling Privacy-Preserving Cryptocurrencies
- https://eprint.iacr.org/2025/1124
Reusable Designated Verifier NIZK from Lossy Trapdoor Functions
- https://eprint.iacr.org/2025/1125
ZK-NR: A Layered Cryptographic Architecture for Explainable Non-Repudiation
- https://eprint.iacr.org/2025/1138
LZKSA: Lattice-Based Special Zero-Knowledge Proofs for Secure Aggregation's Input Verification
- https://eprint.iacr.org/2025/1141
ZK-ProVer: Proving Programming Verification in Non-Interactive Zero-Knowledge Proofs
- https://eprint.iacr.org/2025/1152
Bridging Bitcoin to Second Layers via BitVM2
- https://eprint.iacr.org/2025/1158
DekartProof: Efficient Vector Range Proofs and Their Applications
- https://eprint.iacr.org/2025/1159
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