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A study finds that as few as 250 malicious documents can produce a "backdoor" vulnerability in an LLM, regardless of model size or training data volume (Anthropic)
Anthropic: A study finds that as few as 250 malicious documents can produce a “backdoor” vulnerability in an LLM, regardless of model size or training data volume — Read the paper … Large language models like Claude are pretrained on enormous amounts of public text from across the internet …
Anthropic:
A study finds that as few as 250 malicious documents can produce a “backdoor” vulnerability in an LLM, regardless of model size or training data volume — Read the paper … Large language models like Claude are pretrained on enormous amounts of public text from across the internet …
