Brooks Allen Olney

Title: Brooks Allen Olney: Innovator in Neural Network Security

Introduction

Brooks Allen Olney is a notable inventor based in Tampa, FL (US). He has made significant contributions to the field of artificial intelligence, particularly in the area of neural network security. His work focuses on developing systems that enhance the resilience of convolutional neural networks against malicious attacks.

Latest Patents

Olney holds a patent for "Deploying neural-trojan-resistant convolutional neural networks." This innovative system is designed to identify malicious attacks on CNN models. It includes a target computing system that performs object classification using a CNN model, along with an attack identification computing system that detects injected neural attacks. The system generates an ecosystem of CNN models by modifying original weights of the parameters associated with the CNN model. It updates the original weights, stores them securely, and generates an update file for the CNN model. This updated model is then transmitted to a targeting computing system to enhance its ability to detect neural attacks.

Career Highlights

Olney is affiliated with the University of South Florida, where he contributes to research and development in artificial intelligence. His work has implications for improving the security of AI systems, making them more robust against potential threats.

Collaborations

One of his notable collaborators is Robert Anthony Karam. Together, they work on advancing the field of neural network security and exploring innovative solutions to combat malicious attacks.

Conclusion

Brooks Allen Olney's contributions to neural network security through his patent and research at the University of South Florida highlight his role as an important figure in the field of artificial intelligence. His work continues to pave the way for more secure AI systems.