Open Internet by MindsNet

Securing Open Source LLMs from Prompt Injection Attacks

Open source LLMs are vulnerable to prompt injection attacks, which can compromise their output. Current defenses often scan outputs or text patterns, but this can be too late. There is a need for a more proactive security measure.

Computing & Technology, Computer Science, Machine Learning