IDiyas

For the Inventor, By the Inventor

San Antonio, TX, United States of America

Joshua F Payne

USPTO Granted Patents = 10 

Average Co-Inventor Count = 3.6

ph-index = 2

Forward Citations = 10(Granted Patents)


Company Filing History:

goldMedal10 out of 164,108 
 
International Business Machines Corporation
 patents

Years Active: 2021-2024

where 'Filed Patents' based on already Granted Patents

10 patents (USPTO):
1. 12056236 - Defending against adversarial queries in a data governance system (2024-08-06),
2. 12026264 - Secure query processing on graph stores (2024-07-02),
3. 11930023 - Deep learning-based similarity evaluation in decentralized identity graphs (2024-03-12),
4. 11675980 - Bias identification and correction in text documents (2023-06-13),
5. 11647004 - Learning to transform sensitive data with variable distribution preservation (2023-05-09),
6. 11640529 - Training a neural network to create an embedding for an unlabeled vertex in a hypergraph (2023-05-02),
7. 11531780 - Deep learning-based identity fraud detection (2022-12-20),
8. 11245727 - Adaptive identity broker for governance of decentralized identities across multiple heterogeneous identity networks (2022-02-08),
9. 11184402 - Resource access policy enforcement using a hypergraph (2021-11-23),
10. 11095528 - Identity network onboarding based on confidence scores (2021-08-17),

Title: **Innovator Spotlight: Joshua F. Payne**

Introduction

Joshua F. Payne, an accomplished inventor based in San Antonio, TX, has made notable contributions to the field of data governance and secure information processing. With a total of ten patents to his name, Payne has demonstrated a commitment to advancing technology while addressing contemporary challenges in data security.

Latest Patents

Among his latest achievements are two significant patents that illustrate his innovative spirit:

1. **Defending Against Adversarial Queries in a Data Governance System**

This patent describes an apparatus and related method designed to defend against adversarial queries. The process involves constructing a policy enforcement hypergraph that expresses a set of security policies. Through repeated traversals of this hypergraph, the system monitors changes in user behavior over time, determining any deviations and enacting enforcement actions based on established security policies.

2. **Secure Query Processing on Graph Stores**

This invention introduces a processor-implemented method for securely responding to queries for information from a data graph. The method involves creating embeddings for encrypted sensitive information found in vertices of the data graph. By bucketizing this embedded information on an embedding graph, the system clusters vertices with shared data graph features, allowing for secure retrieval of sensitive information in response to user queries.

Career Highlights

Currently, Joshua F. Payne is a key member of the International Business Machines Corporation (IBM), where he applies his expertise in data governance and security. His robust background has positioned him as a leading figure within the organization, contributing significantly to its innovations in technology.

Collaborations

Throughout his career, Payne has worked alongside talented peers, including Arjun Natarajan and Ashish Kundu. Their collaborative efforts have been essential in driving the research and development of advanced technologies aimed at enhancing data security and governance systems.

Conclusion

Joshua F. Payne's innovative work in data governance and secure information processing continues to influence the technology landscape. His inventions not only reflect his technical prowess but also his dedication to addressing critical security concerns in today's data-driven world. With a growing portfolio of patents, Payne is poised to remain a significant contributor to advancements in this vital field.

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