This article aims to explain the complex topic of homomorphic encryption in a simplified manner, particularly in relation to Apple’s approach in their Enhanced Visual Search feature. The piece delves into the mathematical concepts behind encryption, such as encryption methods, vectors, and algorithms, while emphasizing the importance of privacy and data security. It discusses the challenges Apple faces in balancing privacy and performance, as well as the potential privacy leaks associated with their implementation. The use of homomorphic encryption, differential privacy techniques, and proxy networks are highlighted as strategies to protect user data. The article concludes with a personal decision to enable the feature despite the technical complexities involved.
https://boehs.org/node/homomorphic-encryption