---
title: "Adversarial Attacks on LLMs"
url: https://daily.dev/posts/adversarial-attacks-on-llms-wlf0qmqgt
source_url: https://lilianweng.github.io/posts/2023-10-25-adv-attack-llm/
type: article
source: "Lil’Log"
published: 2023-11-06T09:23:04.928Z
updated: 2023-11-06T09:22:43.103Z
reading_time: 31
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Adversarial Attacks on LLMs

**[Lil’Log](https://daily.dev/sources/lilianweng)** · 31 min read · 1 upvotes · 0 comments

## Summary

The article discusses various types of adversarial attacks on large language models, including token manipulation, gradient-based attacks, jailbreak prompting, human red-teaming, and model red-teaming. It explores the challenges and strategies for mitigating these attacks and highlights the Saddle Point Problem in adversarial robustness.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://lilianweng.github.io/posts/2023-10-25-adv-attack-llm/>

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