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Creators/Authors contains: "Liu, Shaoshan"

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  1. ; ; ; ; ; (, IEEE International Symposium on High-Performance Computer Architecture)
    Accepted Manuscript Full Text Available
  2. ; ; ; ; (, Computer)
    In this article, we share our real-world experiences of digital twin, a practical autonomous driving system development paradigm, which generates an integral, comprehensive, precise, and reliable representation of the physical environment to minimize the need for physical testing. 
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    Full Text Available 
  3. ; (, Computer)
    Full Text Available 
  4. ; ; ; ; ; (, IEEE Custom Integrated Circuits Conference (CICC))
    Full Text Available 
  5. ; ; ; ; ; ; ; (, IEEE International Conference on Artificial Intelligence Circuits and Systems)
    Full Text Available 
  6. ; ; ; ; (, NDSS Workshop on Automotive and Autonomous Vehicle Security (AutoSec))
    Autonomous Driving (AD) is a rapidly developing technology and its security issues have been studied by various recent research works. With the growing interest and investment in leveraging intelligent infrastructure support for practical AD, AD system may have new opportunities to defend against existing AD attacks. In this paper, we are the first to systematically explore such a new AD security design space leveraging emerging infrastructure-side support, which we call Infrastructure-Aided Autonomous Driving Defense (I-A2D2). We first taxonomize existing AD attacks based on infrastructure-side capabilities, and then analyze potential I-A2D2 design opportunities and requirements. We further discuss the potential design challenges for these I-A2D2 design directions to be effective in practice. 
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    Accepted Manuscript Full Text Available
  7. ; ; (, IEEE Wireless Communications)
    Full Text Available 
  8. ; ; ; ; ; ; ; ; ; (, RTAS 2022)
    Full Text Available 
  9. ; ; ; ; (, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC))
    Full Text Available 
  10. ; ; ; ; ; (, Computer)
    null (Ed.)
    Full Text Available