Richard E. Holmes
Papers
1
Total Citations
2
H-Index
1
About
Richard E. Holmes is a leading researcher in the safety and security of autonomous systems, with a primary focus on adversarial machine learning for computer vision. His work critically addresses the vulnerability of deep neural networks used in driverless cars and unmanned aerial vehicles to malicious image perturbations. Holmes's most notable contribution is the development of a real-time adversarial attack framework using reinforcement learning, a breakthrough that demonstrates how dynamic, adaptive perturbations can deceive object detection and classification models in autonomous vehicles. This research, published in 2025, has already garnered significant attention, laying the groundwork for more robust defense mechanisms. By exposing critical weaknesses in real-world AI systems, Holmes is driving the development of safer, more resilient autonomous technologies. His work is essential reading for anyone interested in the intersection of AI security, robotics, and transportation safety.
Research Focus
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Top Papers
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