llm backdoors

Sleeper-agent backdoors are no longer just a movie plot device — Microsoft’s latest research shows practical, measurable signs that a large language model (LLM) may have been secretly poisoned during training, and offers a lightweight scanner that uses those signs to reconstruct likely triggers...

Anthropic’s new experiment finds that as few as 250 malicious documents can implant reliable “backdoor” behaviors in large language models (LLMs), a result that challenges the assumption that model scale alone defends against data poisoning—and raises immediate operational concerns for...