Summary
This project investigates security and privacy of embeddings, a fundamental building block of artificial intelligence (AI) systems. Embeddings convert text, images, audio, and video into mathematical vector representations whose geometric relationships reflect the meaning of the inputs. Embeddings are a key component in modern search and information retrieval systems, large language models (LLMs), and other generative AI systems. An entire new industry of vector databases has emerged to provide solutions for large-scale storage and management of embeddings. The project's novelties are to ta
