Overview
Who this competition fits
Security researchers and advanced ML practitioners interested in AI safety and adversarial testing. Requires understanding of LLM vulnerabilities and creative attack strategies.
Read the original official blurb
Find any flaws and vulnerabilities in gpt-oss-20b that have not been previously discovered or reported.
Preparation
From registration to a first submission
- 01
Python
- 02
LLM fundamentals
- 03
prompt engineering
- 04
AI safety concepts
- 05
adversarial testing methodology
Before you commit: Red teaming requires deep understanding of LLM behavior, creative thinking about failure modes, and the ability to identify novel vulnerabilities that have not been previously reported. The evaluation is qualitative, based on expert panel review.
Source
How this page was assembled
Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.
- Official competition page
- Kaggle
- Last checked
- Aug 5, 2025