🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
-
Updated
May 15, 2022 - Jupyter Notebook
🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
Post-quantum key exchange from the learning with errors problem — from the paper "Frodo: Take off the ring! Practical, Quantum-Secure Key Exchange from LWE", published in ACM CCS 2016, https://eprint.iacr.org/2016/659
practical quantum-secure key encapsulation from generic lattices
Python implementation of "Somewhat Practical Fully Homomorphic Encryption"
This project proposes the use of plain lattices with learning with errors problem to implement a cryptographic scheme which can run on classical computers and provides security against quantum based attacks. We are proposing key sizes for efficient operations and implement a lattice trapdoor function. Also we will improve current random oracle b…
Prototypes of a Learning With Errors (LWE) Implementation
Fast and ergonomic lattice cryptography library
Python implementation of "Fully Homomorphic Encryption without Modulus Switching from Classical GapSVP"
FrodoKEM: Practical Quantum-secure Key Encapsulation from Generic Lattices
crypto fun repository
Some experiments to empirically analyze how the parameters of LWE impact the correctness of the algorithm on a single bit.
Privacy-Preserving E-Health Record Management Using Blockchain-Based Post-Quantum Access Control https://ieeexplore.ieee.org/document/10794736 doi:10.1109/UNet62310.2024.10794736 #CPABE #crypto #cryptography #smartcontracts #ieee #blockchain #ethereum #ehealth #python #flask #solidity #truffle #postquantumcryptography
Module-Lattice-Based Key Encapsulation Mechanism (FIPS-203) implemented in python
Artifacts for ePrint 2025/1002 "Cool + Cruel = Dual, and New Benchmarks for Sparse LWE
A Python implementation of the Learning with Errors Algorithm
R&D environment to study Cryptography so we can roll our own eventually
Implementations and proofs-of-concepts of cryptographic attacks
https://ieeexplore.ieee.org/document/10794713 doi:10.1109/UNet62310.2024.10794713 #MAC #KeyExchangeProtocol #MessageAuthenticationCode #Authentication #LearningWithErrors #LWE #KEP #Cryptography #Cryptanalysis #Validity #Correctness #postquantumcryptography
An educational framework and simulation tool exploring the Entropic Threat Continuum, combining Regev's LWE cryptography, Shannon entropy for mixnets, and Differential Privacy composition bounds.
Open research lab for conservative post-quantum cryptography — three-depth explainers (Simple/Developer/Researcher), the sl-researchkit method, reproducible attacks, and an experimental KEM studied with it. For production, use ML-KEM.
Add a description, image, and links to the learning-with-errors topic page so that developers can more easily learn about it.
To associate your repository with the learning-with-errors topic, visit your repo's landing page and select "manage topics."