Hailey Buckingham

Title: Hailey Buckingham: Innovator in Machine Learning Technologies

Introduction

Hailey Buckingham is a prominent inventor based in Vancouver, WA (US), known for her significant contributions to the field of machine learning. With a total of seven patents to her name, she has made remarkable strides in developing innovative technologies that enhance the security and efficiency of classification models.

Latest Patents

Among her latest patents, Hailey has developed a machine learning model score obfuscation technique using multiple classifiers. This invention involves receiving an artefact, extracting features, and populating a vector. A classification model is then selected from a plurality of available models, which utilize different scoring paradigms while providing similar classifications. The generated score is provided to a consuming application or process, allowing it to determine whether the artefact is malicious or benign, thus enabling appropriate remedial actions.

Another notable patent is her work on machine learning model score obfuscation using time-based score oscillations. In this invention, an artefact is received, and features are extracted to populate a vector. The vector is input into a classification model to generate a score, which is then modified using a time-based oscillation function before being provided to a consuming application or process. This innovative approach enhances the security and reliability of machine learning applications.

Career Highlights

Hailey Buckingham is currently employed at Cylance Inc., where she continues to push the boundaries of machine learning technologies. Her work has garnered attention for its practical applications in cybersecurity and data analysis.

Collaborations

Hailey collaborates with talented individuals such as David Neill Beveridge and Yaroslav Oliinyk, contributing to a dynamic and innovative work environment.

Conclusion

Hailey Buckingham's contributions to machine learning and her innovative patents demonstrate her commitment to advancing technology in meaningful ways. Her work not only enhances classification models but also plays a crucial role in improving cybersecurity measures.