Acknowledgement
This research was supported by Korea Planning&Evaluation Institute of Industrial Technology(KEIT) grant funded by the Korea Government(MOTIE) (No. RS-2024-00406121, Development of an Automotive Security Vulnerability-based Threat Analysis System(R&D)). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (RS-2023-00277326). This work was supported by the BK21 FOUR program of the Education and Research Program for Future ICT Pioneers, Seoul National University in 2024. This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) under the artificial intelligence semiconductor support program to nurture the best talents (IITP-2023-RS-2023-00256081) grant funded by the Korea government (MSIT). This work was supported by Inter-University Semiconductor Research Center (ISRC). This work was supported by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.RS-2024-00438729, Development of Full Lifecycle Privacy-Preserving Techniques using Anonymized Confidential Computing).
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