KAIST researchers have developed a safety verification technology that uncovers roughly seven times more hidden vulnerabilities in AI than existing methods. The technology is expected to serve as a foundation for developing safer, more trustworthy AI. The work is published on the arXiv preprint server.
Stable-GFlowNet uncovers more hidden weaknesses in generative AI models
