Mohammad Samragh Razlighi

Title: Innovations by Mohammad Samragh Razlighi

Introduction

Mohammad Samragh Razlighi is an accomplished inventor based in San Diego, California. He has made significant contributions to the field of machine learning, particularly in the area of adversarial attacks. His innovative approach aims to enhance the security of machine learning models.

Latest Patents

Razlighi holds a patent for "Detection and prevention of adversarial deep learning." This patent describes a method for detecting and preventing adversarial attacks against target machine learning models. The method involves training a defender machine learning model using training data to identify malicious input samples. Once trained, this model can be deployed alongside the target machine learning model to determine whether incoming input samples are malicious or legitimate. This innovation is crucial for improving the robustness of machine learning systems.

Career Highlights

Razlighi is affiliated with the University of California, where he continues to advance research in machine learning and artificial intelligence. His work focuses on developing methods that enhance the security and reliability of machine learning applications.

Collaborations

Some of his notable coworkers include Bita Darvish Rouhani and Tara Javidi, who contribute to the collaborative research environment at the University of California.

Conclusion

Mohammad Samragh Razlighi's contributions to the field of machine learning, particularly through his patent on adversarial deep learning, highlight his innovative spirit and commitment to advancing technology. His work is essential for the future of secure machine learning applications.