This inventor holds 1 USPTO granted patent. Top assignee: Nortonlifelock Inc.. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: The Innovative Mind of Sarfaraz Hussein
Introduction
Sarfaraz Hussein is a notable inventor based in Mountain View, CA (US). He has made significant contributions to the field of data management and security through his innovative patent. His work focuses on enhancing the reliability of machine learning models in the face of data drift.
Latest Patents
Sarfaraz Hussein holds a patent titled "Systems and methods for adaptively managing data drift in a classifier." This patent describes a computer-implemented method that includes receiving an input sample of digital information with an unknown reputation. The method involves performing a security action that identifies the input sample as either benign or malicious. This is achieved by classifying the input sample using a machine learning model trained with activity regularization. The process also includes calculating the internal activity and activation entropy of the model during classification, and comparing these metrics to a threshold to determine the confidence level of the classification result. This innovative approach addresses the challenges posed by data drift in classifiers.
Career Highlights
Sarfaraz Hussein is currently employed at NortonLifeLock Inc., where he continues to develop cutting-edge solutions in data security. His expertise in machine learning and data management has positioned him as a valuable asset in his field.
Collaborations
Throughout his career, Sarfaraz has collaborated with talented individuals such as Keith Kenemer and Javier Echauz. These collaborations have fostered an environment of innovation and creativity, leading to advancements in their respective projects.
Conclusion
Sarfaraz Hussein exemplifies the spirit of innovation in the tech industry. His contributions to managing data drift in classifiers highlight the importance of adaptive technologies in ensuring data security. His work continues to influence the field and inspire future advancements.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
