Round Trip Translation Defence against Large Language Model Jailbreaking Attacks

arXiv:2402.13517v1 Announce Type: new
Abstract: Large language models (LLMs) are susceptible to social-engineered attacks that are human-interpretable but require a high level of comprehension for LLMs to counteract. Existing defensive measures can only mitigate less than half of these attacks at most. To address this issue, we propose the Round Trip Translation (RTT) method, the first algorithm specifically designed to defend against social-engineered attacks on LLMs. RTT paraphrases the adversarial prompt and generalizes the idea conveyed, making it easier for …

arxiv attacks cs.ai cs.cl defence jailbreaking language language model large language large language model translation trip type