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Backdoor attacks can manipulate speech recognition models. SpeechGuard defends against these attacks online. Its impact on voice interaction security is significant.
“arXiv:2607.15697v1 Announce Type: cross Abstract: Backdoor attacks pose a critical threat to neural network models, allowing attackers to implant a backdoor during the training phase by manipulating a small portion of the training data. In …”
Read the source →STATUS
ACTIVE
CATEGORY
Models
EVIDENCE
Not yet assessed
ENTITY
SpeechGuard, Speech Recognition Models
DECISION
Automated · no editorial override
LAST OBSERVED
Aug 6, 2026