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