Yusuke Nozaki
Papers
2
Total Citations
10
H-Index
2
About
Yusuke Nozaki is a researcher specializing in hardware security and embedded systems, with a particular focus on securing AI modules and robotic communication platforms. His work addresses critical vulnerabilities in edge AI systems, where he investigates hardware Trojans (HT) that can compromise FPGA-based AI modules—a growing concern as AI is deployed in automotive and robotic systems. His 2020 paper on LUT-oriented hardware Trojans for FPGA-based AI modules has garnered 8 citations, highlighting its relevance to the emerging field of AI hardware security. Nozaki also contributes to secure communication in industrial automation, evaluating authenticated encryption schemes from the CAESAR competition on the Secure Robot Operating System 2 (SROS2). His 2019 performance evaluation of these ciphers, though with 2 citations, addresses the pressing need for lightweight, secure protocols in complex, wirelessly connected factory automation systems. By bridging hardware security and real-time robotic communication, Nozaki’s work supports the safe and trustworthy deployment of AI in critical infrastructure.
Research Focus
Key Achievements
Top Papers
- 1LUT oriented Hardware Trojan for FPGA based AI Module8 citations · 2020
- 2Performance Evaluation of CAESAR Authenticated Encryption on SROS22 citations · 2019