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Image Classification on TinyImageNet ε=1/255 (test)

43.78Standard AccuracyCC-DIST
24.966429.850734.73539.6193Jun 30, 2026

Evaluation results

MethodLinks
CC-DISTε=1/2552026.0643.7827.88
AD-CERTε=1/2552026.0640.0628.19
MTL-IBPε=1/2552026.0635.9727.73
TAPS/STAPSε=1/255, Selection protocol=Stronger of TAPS and STAPS based on certified accuracy2026.0630.6322.31
SABRε=1/2552026.0630.5820.96
IBPε=1/2552026.0626.7719.82
SORTNETε=1/255, Architecture=Non-ReLU-based2026.0625.6918.18