Toy implementation of FHE algorithms
HEonGPU is a high-performance library that optimizes Fully Homomorphic Encryption (FHE) on GPUs. Leveraging GPU parallelism, it reduces computational load through concurrent execution. Its multi-stream architecture minimizes data transfer overhead, making it ideal for large-scale encrypted computations with reduced latency.
Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
SEAL.jl is an easy-to-use wrapper for the original SEAL library and supports homomorphic encryption with the BFV and CKKS schemes.
HIENAA (HE Implementation for Encrypted Numbers Arithmetic and Algorithms)
Pure Python implementation of the homomorphic encryption BFV scheme with support for multi-party thresholded operations
Fully Brakerski-Fan-Vercauteren Compliant Homomorphic Encryption Playground Supporting Polynomial Ring Operations, Noise Budgets, Document Indexing with an Encrypted Search Engine, FHE & Small (1024), Medium (2048) & Large (4096) Benchmark Profiles
Private Set Intersection (PSI) is a famous secure two-party computation (2PC) problem where two parties (client and server) want to jointly compute the intersection of their inputs sets without revealing additional information about the input sets. Our implementation offers open-source research code to perform fast privacy-preserving set interse...
Battlefield V Stats Timeline
Secured Cheng and Church Algorithm performs encrypted computations such as sum, or matrix multiplication in Python for biclustering algorithm
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