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Backdoor attacks can now hide in plain sight: by delaying activation, common words become viable triggers, opening a new, stealthier attack surface in pre-trained models.
Federated learning can supercharge agentic AI in wireless networks by enabling collaborative local learning and parameter sharing, overcoming limitations of centralized architectures.
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.
