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Northern Arizona University,School of Informatics, Computing, and Cyber Systems,Flagstaff,USA, This paper was produced by the IEEE Publication Technology Group. They are in Piscataway, NJ.Manuscript received April 19, 2021; revised August 16, 2021
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Multimodal LLMs can be hijacked by adversarial instructions hidden inside seemingly innocuous images, achieving a 64% success rate in manipulating model outputs.
SemCom's shift to AI-native communication opens doors to subtle semantic attacks that bypass traditional security, demanding a new wave of AI-driven defenses.
