Pei-Zhong Luo

Title: Pei-Zhong Luo: Innovator in Generative Artificial Intelligence for Vehicle Security

Introduction

Pei-Zhong Luo is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of vehicle security through his innovative patent. His work focuses on utilizing generative artificial intelligence to enhance the security protocols of connected vehicles.

Latest Patents

Pei-Zhong Luo holds a patent titled "Generation of TARA-based IDPS rules utilizing generative artificial intelligence." This patent describes a method where a large language model (LLM) is trained using a TARA configuration of an Electronic Control Unit (ECU) of a connected vehicle, along with an EEA specification and existing IDPS rules. The process involves extracting feature vectors for input into the LLM, which is then fine-tuned with updated ECU versions and data from other ECUs. The LLM generates IDPS rules for other ECUs that may lack sufficient rules, ensuring optimized performance and reduced overhead.

Career Highlights

Pei-Zhong Luo is currently associated with Vicone Corporation, where he applies his expertise in artificial intelligence and vehicle technology. His innovative approach has positioned him as a key figure in the development of advanced security measures for connected vehicles.

Collaborations

Pei-Zhong has collaborated with notable colleagues, including Yao-Tang Chang and Yi-Hong Chu. Their combined efforts contribute to the advancement of technology in the automotive sector.

Conclusion

Pei-Zhong Luo's work exemplifies the intersection of artificial intelligence and vehicle security. His innovative patent demonstrates the potential of generative AI in enhancing the safety and functionality of connected vehicles.