KAIST Develops AI That Finds Its Own Hidden Weaknesses, Paving the Way for Safer Generative AI Models (IMAGE)
Caption
Figure 3. Graph comparing the Attack Success Rate (ASR) and attack diversity (# of unique attacks) between S-GFN and existing methods. Stable-GFN increases attack diversity by a factor of seven compared to standard GFNs, all while maintaining an ASR of over 90%.
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KAIST
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