TL;DR: I'm presenting three recent papers which all share a similar finding, i.e. the safety training techniques for chat models don’t transfer well from chat models to the agents built from them. In other words, models won’t tell you how to do something harmful, but they are often willing to directly execute harmful actions. However, all papers find that different attack methods like jailbreaks, prompt-engineering, or refusal-vector ablation do transfer.

Here are the three papers:

1. AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
2. Refusal-Trained LLMs Are Easily Jailbroken As Browser Agents
3. Applying Refusal-Vector Ablation to Llama 3.1 70B Agents

What are language model agents

Language model agents are a combination of a language model and a scaffolding software. Regular language models are typically limited to being chat bots, i.e. they receive messages and reply to them. However, scaffolding gives these models access to tools which they can [...]

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Outline:

(00:55) What are language model agents

(01:36) Overview

(03:31) AgentHarm Benchmark

(05:27) Refusal-Trained LLMs Are Easily Jailbroken as Browser Agents

(06:47) Applying Refusal-Vector Ablation to Llama 3.1 70B Agents

(08:23) Discussion

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Source:

Narrated by TYPE III AUDIO.

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