This is a Plain English Papers summary of a research paper called Simple Attack Bypasses AI Safety: 90%+ Success Rate Against GPT-4 and Claude's Vision Systems. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- A new, simple attack strategy against multimodal models achieves over 90% success rate
- Works against strong black-box models including GPT-4o, GPT-4.5, and Claude 3 Opus
- Uses combinations of OCR-evading text and adversarial patches
- Requires no special training - simple image manipulations are effective
- Demonstrates significant security vulnerabilities in current vision-language models
Plain English Explanation
The paper reveals an alarmingly simple way to trick the latest AI vision systems. When AI models like GPT-4o or Claude look at images, they're supposed to reject harmful requests. But researchers found that by adding certain text patterns to images - either as a separate patch ...
Top comments (0)