🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.
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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…
Fast and ergonomic lattice cryptography library
Python implementation of "Fully Homomorphic Encryption without Modulus Switching from Classical GapSVP"
Prototypes of a Learning With Errors (LWE) Implementation
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.
A Python implementation of the Learning with Errors Algorithm
R&D environment to study Cryptography so we can roll our own eventually
A C++ Implementation of the Learning with Errors Algorithm, a quantum safe cryptography algorithm
Lattice-based cryptography using LWE and LWR scheme
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