The healthcare industry involves the storage and retrieval of sensitive patient information, and ensuring the confidentiality, and availability of this data is ...

Emerging global privacy mandates enforce strict requirements for biometric data protection, requiring encrypted processing throughout storage and computation phases. While full homomorphic encryption ...

Chosen-ciphertext attacks (CCAs) are among the most powerful and dangerous types of cryptographic attacks. In a CCA, an adversary is able to submit selected ciphertexts for decryption and analyze the ...

Abstract: Federated Learning (FL) is a decentralized and collaborative learning approach that ensures the data privacy of each participant. However, recent studies have shown that the private data of ...

Abstract: Ciphertext policy attribute-based encryption (CP-ABE) is becoming a new primitive for finegrained access control. It neither produces multiple encrypted copies of the same data nor suffers ...

This repository is a fork from Kyber. This repository contains the implementation of a cipheretext-dependent Proxy Re-Encryption scheme based on Kyber. where $ALG ...

MicroAlgo Inc. (the "Company" or "MicroAlgo", NASDAQ: MLGO) has developed a quantum image XOR encryption algorithm built on quantum mechanical principles to deliver reliable protection solutions for ...

Encryption is a cornerstone of digital security, but can be pretty difficult to understand, especially for all of us non-math people. Generally speaking, encryption safeguards sensitive data from ...

This repository contains the code and artifacts for my independent study project on privacy-preserving neural network inference using the CKKS homomorphic encryption scheme. The goal is to demonstrate ...