A library for doing homomorphic encryption operations on tensors
Microsoft SEAL 4.X For Python
Homomorphic Encryption for TypeScript or JavaScript - Microsoft SEAL
My Final Year Project using Microsoft SEAL: Logistic Regression over Encrypted Data.
Sample projects introducing Microsoft SEAL
CKKS Bootstrapping using Microsoft SEAL
A scalable, Fully Homomorphic Encryption (FHE) pipeline that allows for model inference on encrypted data without the need for decryption.
A programming language that embbed the property of homomorphic encryption
A library for performing neural network inference over homomorphically encrypted data
Logistic Regression model over encrypted data using Fully Homomorphic Encryption to detect credit card fraud, privately.
This project demonstrates a proof-of-concept (POC) microservice architecture using Kafka for secure communication and computation within a Kubernetes cluster. The architecture simulates a cloud environment and secure computing on sensitive data, specifically for calculating the premium value of car insurance.
Browser-based CKKS approximate FHE demo — encrypted floating-point arithmetic, homomorphic neural network inference, rescaling, and the complete FHE trilogy (TFHE + BGV/BFV + CKKS). Part of the crypto-lab suite.
Browser-based BGV/BFV integer FHE demo — homomorphic addition and multiplication, live noise budget visualizer, relinearization, SIMD batching, and real-world deployments in private genomics and encrypted databases.
SpiralSEAL Enterprise
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