Scientists used the quipu’s data to build working spreadsheets, file systems, and encryption tools, rivaling conventional ...

Supply chain attacks feel like they're becoming more and more common.

FlashRAG is a Python toolkit for the reproduction and development of Retrieval Augmented Generation (RAG) research. Our toolkit includes 36 pre-processed benchmark RAG datasets and 23 state-of-the-art ...

Abstract: Homomorphic encryption (HE) is a promising technique for privacy-preserving computations, especially the word-wise HE schemes that allow batching. However, the high computational overhead ...

Abstract: The application of machine learning in healthcare, financial, social media, and other sensitive sectors not only involves high accuracy but privacy as well. Due to the emergence of the Cloud ...

N2HE (Neural Network Homomorphic Encryption) is a C++ open-source library which implements an optimized fully homomorphic encryption (FHE) scheme for privacy-preserving neural networks. Our optimized ...