DEF CON’s AI Village will host the first public evaluation of Large Language Models (LLMs) at the 31st Annual Hacker Convention this August. It aims to find bugs in AI models and uncover potential misuses.
Possibilities and Limitations of LLM
LLM offers a myriad of ways to empower your creativity, but it also presents challenges, especially in terms of security and privacy.
This event could reveal what it means to use generative AI. Generative AI is a technology with many potential uses, but also potential impacts that are not yet fully understood.
During the conference, the red team will test LLMs from leading vendors such as Anthropic, Google, Hugging Face, NVIDIA, OpenAI, Stability, and Microsoft. This is done on an evaluation platform developed by Scale AI.
“Traditionally, companies have solved this problem with a dedicated red team. I’m here.
“Bug bounties, live hacking events, and other standard community engagements on security can be modified for machine learning model-based systems. , to grow a community of researchers who know how to help.”
The purpose of this exercise is to reveal both the possibilities and limitations of LLM. By testing these models, the red team hopes to uncover potential vulnerabilities and assess how well LLM can operate.
The results of this red team exercise will be published and everyone can benefit from the insights gathered.
Support from the White House
Support for the upcoming Red Team exercise from the White House, the National Science Foundation’s Directorate for Computer and Information Science and Engineering (CISE), and the Congressional AI Caucus underscores the importance of using LLM. It also highlights the potential risks associated with such technology.
The AI Bill of Rights Biden-Harris Blueprint and the NIST AI Risk Management Framework are both important initiatives aimed at promoting the responsible use of AI technology. This red team exercise is consistent with these initiatives.
“This independent exercise will provide important information to researchers and the public about the impact of these models and encourage AI companies and developers to take steps to correct the problems found in these models. Testing AI models independently of governments or the companies that developed them is a key component of effective evaluation,” said the White House.
