Summary of Interactive Tools Substantially Assist Lm Agents in Finding Security Vulnerabilities, by Talor Abramovich et al.
Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities
by Talor Abramovich, Meet Udeshi, Minghao Shao, Kilian Lieret, Haoran Xi, Kimberly Milner, Sofija Jancheska, John Yang, Carlos E. Jimenez, Farshad Khorrami, Prashanth Krishnamurthy, Brendan Dolan-Gavitt, Muhammad Shafique, Karthik Narasimhan, Ramesh Karri, Ofir Press
First submitted to arxiv on: 24 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper presents EnIGMA, a language model (LM) agent that autonomously solves Capture The Flag (CTF) challenges. To improve the agent’s performance, novel Interactive Agent Tools are introduced to enable it to run interactive utilities, such as debuggers and server connection tools. Empirical analysis on 390 CTF challenges across four benchmarks demonstrates significant improvements in the agent’s performance, achieving state-of-the-art results on NYU CTF, Intercode-CTF, and CyBench. Additionally, the paper analyzes data leakage and identifies a new phenomenon called soliloquizing, where the model generates hallucinated observations without interacting with the environment. The code and development dataset are available for further research. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary EnIGMA is a special kind of computer program that can help solve security challenges on the internet. Right now, these programs aren’t very good at solving some types of challenges. But this new program, EnIGMA, uses tools it has never used before to solve these challenges. It’s like having a super smart friend who can help you with tricky computer tasks. The researchers tested EnIGMA and found that it did really well on many challenges. They also looked at how much information was being shared by the program accidentally, which is important for keeping data safe. |
Keywords
» Artificial intelligence » Language model
