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SynGhost backdoor attack targets pre-trained models across downstream tasks
Researchers present SynGhost, a backdoor attack that exploits vulnerabilities in pre-training data and training pipelines to implant triggers that persist across many downstream tasks. The method uses syntactic transfer to make the injected triggers hard to detect while remaining task-agnostic. The paper appears as an arXiv cs.AI cross-listing revision.