Nicolas Thomas Mathieu Dupont

Title: Innovations of Nicolas Thomas Mathieu Dupont

Introduction

Nicolas Thomas Mathieu Dupont is a prominent inventor based in New York, NY (US). He holds a total of 11 patents, showcasing his significant contributions to the field of technology and innovation. His work primarily focuses on enhancing data privacy and security through advanced search methodologies.

Latest Patents

One of his latest patents is titled "Semantic search and retrieval over encrypted vector space." This invention discloses a method and system for performing end-to-end encrypted semantic search and retrieval. The system is designed to conduct semantic searches of encrypted data, utilizing product quantization and distance scores to ensure efficient and secure retrieval of relevant information. Throughout the search process, user queries, indexes, document identifiers, and document contents remain encrypted, significantly enhancing privacy and security compared to existing search methods. This method is particularly advantageous for applications that depend on semantic understanding in search queries, such as Generative AI and Retrieval-Augmented Generation (RAG), while maintaining strict data confidentiality.

Another notable patent is the "System and method for encrypted search using hash vectorization models." This invention employs hash vectorization (HV) models, which are secure, one-way hash indices generated through a compression process, such as the modeling phase of Lempel-Ziv (LZ) parsing. Each HV model consists of a hash filter and a chain vector. The hash filter functions as a Boolean quotient filter, similar to Bloom filters, allowing for the rapid elimination of negative query assessments. Following the hash filter is a chain vector that provides spatial modeling of hashed elements throughout the compressed and encrypted data, resulting in increased accuracy, efficiency, and query expressiveness compared to known techniques.

Career Highlights

Nicolas Dupont has made significant strides in the field of encrypted data search and retrieval. His innovative approaches have positioned him as a leader in developing secure methodologies that address contemporary challenges in data privacy.

Collaborations

He collaborates with notable professionals in the industry, including Alexandre Helle and Glenn Lawrence Cash. Their combined expertise contributes to the advancement of their projects and innovations.

Conclusion

Nicolas Thomas Mathieu Dupont is a distinguished inventor whose work in encrypted search technologies has made a profound impact on data privacy and security. His patents reflect a commitment to innovation and excellence in the field.