Abstract
With the wide application of intelligent technology, model theft of face and fingerprint recognition may lead to information leakage, and even in some extreme cases, such as data poisoning and confrontational attacks may lead to loss of life. In this paper, the SMART architecture is introduced to explore the quantification of intelligent system training set, adversarial attack, model accuracy and uncertainty from three dimensions: operating environment, data, and model. The coupling of intelligent module and system leads to the uncertainty of complex and dynamic structure, which leads to procedural faults. This paper focuses on exploring the variable content of improved reliability and puts forward the power point of reliability analysis and verification method according to the fault characteristics of intelligent system. It also provides ideas for in-depth research on the reliability of intelligent systems.
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Zeng, Z., Peng, W., Li, J. (2023). Overview of Complex Intelligent System Reliability Technology. In: Tan, Y., Shi, Y., Luo, W. (eds) Advances in Swarm Intelligence. ICSI 2023. Lecture Notes in Computer Science, vol 13968. Springer, Cham. https://doi.org/10.1007/978-3-031-36622-2_2
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