New York, NY, United States of America

Alexandre Helle

USPTO Granted Patents = 8 

Average Co-Inventor Count = 2.2

ph-index = 3

Forward Citations = 54(Granted Patents)


Location History:

  • New York, NY (US) (2019 - 2021)
  • Forest Hills, NY (US) (2022 - 2024)

Company Filing History:


Years Active: 2019-2024

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8 patents (USPTO):Explore Patents

Title: Innovations of Inventor Alexandre Helle

Introduction

Alexandre Helle is a prominent inventor based in New York, NY (US), known for his significant contributions to the field of encrypted search technologies. With a total of 8 patents to his name, Helle has been at the forefront of developing methods that enhance data privacy and security in search applications.

Latest Patents

Helle's latest patents include groundbreaking technologies such as "Semantic search and retrieval over encrypted vector space." This patent 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 traditional search methods. This innovation is particularly beneficial for applications that depend on semantic understanding in search queries, including 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 technology 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, akin to Bloom filters, allows 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 improved accuracy, efficiency, and query expressiveness compared to existing techniques.

Career Highlights

Helle is currently associated with Cyborg Inc., where he continues to innovate and develop advanced technologies in the field of encrypted search. His work has garnered attention for its potential applications in various sectors that prioritize data security and privacy.

Collaborations

Some of Helle's notable coworkers include Nicolas Thomas Mathieu Dupont and Glenn Lawrence Cash, who contribute to the collaborative environment at Cyborg Inc. Their combined expertise fosters a culture of innovation and creativity.

Conclusion

Alexandre Helle's contributions to the field of encrypted search technologies exemplify the importance of innovation in enhancing data privacy and security. His patents reflect a commitment to advancing methods that protect sensitive

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