Beyond prediction: Assessing stability in feature selection methods for materials science applications

· · 来源:map资讯

Source: Computational Materials Science, Volume 267

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A pair like Cyrillic ԁ (U+0501) and Latin d scores 0.781 mean SSIM across 18 fonts. That sounds moderate. But it is pixel-identical (SSIM 1.000) in eight of those fonts: Arial, Menlo, Cochin, Tahoma, Charter, Georgia, Baskerville, and Verdana. An attacker needs only one font to succeed. The exploitable risk is the max, not the mean.

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