llm-attacks

Researchers have demonstrated adaptive computer worms powered by open-weight LLMs that can generate target-specific attacks and self-replicate, using stolen compute to evade conventional AI safeguards.

This paper demonstrates that large language models can perform fully automated, large-scale deanonymization of pseudonymous online accounts by matching unstructured text across platforms, achieving up to 68% recall at 90% precision and rendering previous practical obscurity obsolete.