AI RESEARCH
Toward Polymorphic Backdoor against Semantic Communication via Intensity-Based Poisoning
arXiv CS.AI
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ArXi:2604.23231v1 Announce Type: cross Semantic Communication (SC) backdoor attacks aim to utilize triggers to manipulate the system into producing predetermined outputs via backdoored shared knowledge. Current SC backdoors adopt monomorphic paradigms with single attack target, which suffers from limited attack diversity, efficiency, and flexibility in heterogeneous downstream scenarios. To overcome the limitations, we propose SemBugger, a polymorphic SC backdoor.