Dustin-Ray
ZKP Engineer@SxT, Machine Learning Researcher@University Of Washington
@spaceandtimelabs Seattle
Dustin-Ray's Stars
spaceandtimelabs/blitzar
Zero-knowledge proof acceleration with GPUs for C++ and Rust
nexus-xyz/nexus-zkvm
The Nexus zkVM: The zero-knowledge virtual machine
zama-ai/concrete-ml
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
zama-ai/tfhe-rs
TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.
data61/MP-SPDZ
Versatile framework for multi-party computation
facebook/winterfell
A STARK prover and verifier for arbitrary computations
0xPolygonZero/plonky2
arkworks-rs/algebra
Libraries for finite field, elliptic curve, and polynomial arithmetic
Plonky3/Plonky3
A toolkit for polynomial IOPs (PIOPs)
mpc-msri/EzPC
usnistgov/PrivacyEngCollabSpace
Privacy Engineering Collaboration Space
maxgillett/halo2-fri-gadget
A FRI verifier circuit for the Halo2 proof system
awslabs/bike-kem
Additional implementation of BIKE (Bit Flipping Key Encapsulation)
entropyxyz/crypto-primes
Random prime generation and primality testing library based on `crypto-bigint`.
Electron-Labs/starky_bls12_381
Starky implementation of Bls12-381
Pierrick-Dartois/SQISignHD-lib
Official SQISignHD code, version under continuous development.
NWc0de/KeccakUtils
A crypto library providing SHA3/cSHAKE256 hash computation, symmetric encryption via KMACXOF256, elliptic curve key generation, ECDHIES encryption, and Schnorr signature services.
QuantumCoded/rat-fix
Genetically splice one rat out of another.
merinjo/RSA-Montgomery-Ladder-Implementation
Implementation of the Montgomery’s ladder for exponentiation algorithm of a 128 byte message with a 64 byte (512 bits) secret exponent
post-quantum-cryptography/CECPQ2b
SIKE/p434 in C
carolinenajwa/proving-nn-backprop
This repository is dedicated to the development and understanding of the costs of deploying traditional backpropagation in such a manner as to cryptographically prove the successful completion of the training algorithm.
DavidByteBit/LogisticRegressionMPSPDZ