Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings
#

adversarial-evaluation

Here is 1 public repository matching this topic...

RevealVLLMSafetyEval is a comprehensive pipeline for evaluating Vision-Language Models (VLMs) on their compliance with harm-related policies. It automates the creation of adversarial multi-turn datasets and the evaluation of model responses, supporting responsible AI development and red-teaming efforts.

  • Updated May 12, 2025
  • Python

Improve this page

Add a description, image, and links to the adversarial-evaluation topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the adversarial-evaluation topic, visit your repo's landing page and select "manage topics."

Learn more

Morty Proxy This is a proxified and sanitized view of the page, visit original site.