Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks

arXiv:2403.09832v1 Announce Type: new
Abstract: Large Language Models (LLMs) are increasingly becoming the preferred foundation platforms for many Natural Language Processing tasks such as Machine Translation, owing to their quality often comparable to or better than task-specific models, and the simplicity of specifying the task through natural language instructions or in-context examples. Their generality, however, opens them up to subversion by end users who may embed into their requests instructions that cause the model to behave in unauthorized and possibly …

abstract arxiv attacks behavior cs.cl foundation language language models language processing large language large language models llms machine machine translation natural natural language natural language processing platforms processing prompt prompt injection prompt injection attacks quality scaling simplicity tasks through translation type