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Downstream classifier accuracy can actually improve when neural compressors intentionally distort reconstruction distributions away from mismatched source domains toward a target distribution.
Relay nodes can reconstruct semantic information with surprising accuracy, exposing a critical privacy flaw in current SemCom systems.
A stealthy low-power backdoor attack can selectively manipulate semantic inference in shared-access wireless networks, exposing significant vulnerabilities in current SemCom systems.