Composite Backdoor Attacks Against Large Language Models

arXiv:2310.07676v2 Announce Type: replace
Abstract: Large language models (LLMs) have demonstrated superior performance compared to previous methods on various tasks, and often serve as the foundation models for many researches and services. However, the untrustworthy third-party LLMs may covertly introduce vulnerabilities for downstream tasks. In this paper, we explore the vulnerability of LLMs through the lens of backdoor attacks. Different from existing backdoor attacks against LLMs, ours scatters multiple trigger keys in different prompt components. Such a Composite Backdoor Attack …

arxiv attacks backdoor backdoor attacks cs.cl cs.cr cs.lg foundation foundation models language language models large llms may party performance services third third-party vulnerabilities vulnerability