Aftab Khan

Title: Aftab Khan: Innovator in Machine Learning and AI Security

Introduction

Aftab Khan is a prominent inventor based in Bristol, GB. He has made significant contributions to the fields of machine learning and artificial intelligence. With a total of 12 patents to his name, Aftab is recognized for his innovative approaches to optimizing model performance and enhancing security in distributed AI systems.

Latest Patents

Aftab Khan's latest patents include a device and method for optimizing model performance. This device utilizes a memory resource to store a local model on an electronic device, which is obtained through a machine learning process. The first processor in the device obtains data, applies the local model to this data, and generates a measure of the quality of the local model result. This information is then communicated to a second processor for updating a global model based on the quality measure.

Another notable patent is focused on the detection of model attacks in distributed AI systems. This method involves a plurality of worker devices, each containing a local machine learning model. The process calculates inferences from input data using these models and identifies differences between the inferences to detect potential attacks.

Career Highlights

Aftab Khan is currently employed at Toshiba Corporation, where he continues to push the boundaries of technology in machine learning and AI. His work has been instrumental in developing solutions that enhance the performance and security of AI systems.

Collaborations

Aftab collaborates with talented individuals such as Shengyang Li and Usman Raza. Their combined expertise contributes to the innovative projects at Toshiba Corporation.

Conclusion

Aftab Khan is a leading inventor whose work in machine learning and AI security is shaping the future of technology. His patents reflect a commitment to innovation and excellence in the field.