I’m a distributed ledger specialist with a deep focus on high-performance cryptographic algorithm design. I'm a multi-disciplenary researcher and engineer in the fields of cryptography, machine-learning, and quantum computing. I investigate and seek out the interplay of these technologies, and how they can be used for an overall good.
- Zero-Knowledge Cryptography
- Blockchain Protocol Security
- Secure Multi-Party Computation
- High-Performance Systems Design
- Privacy-Preserving Machine-Learning
-
Computational Analysis of Plausibly Post-Quantum-Secure Recursive Arguments of Knowledge (Paper 2024/1698)
Presents a formal analyis of quantum security of recursive zero-knowledge arguments, systematically examining each component of a STARK and analyzing the potential hardness against quantum attacks. -
Secure Multi-Party Computation and Differential Privacy Applied to DGA Detection (PLOS ONE, 2022)
Developed a secure MPC protocol enabling efficient private classification over sensitive network traffic logs, with safeguards against inversion side channels. -
Computational Attestations of Polynomial Integrity (Future Technologies Conference, 2024)
Introduced an argument system to validate privacy mechanisms in machine learning training, achieving near real-time performance for differentially private regressions on large datasets.
- Languages: Rust, Go, C/C++
- Cryptographic Applications: Zero-knowledge proofs, Elliptic Curve Cryptography (isogenies these days), Digital Signatures, Blockchain Protocol Security
- Email: [email protected]
- Website: dustin-ray-crypto.com
“Any sufficiently advanced cryptography is indistinguishable from magic.”