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ResearchFormerly WizWand

Adversarial Purification on CIFAR-10 (test)

95.57Standard AccuracyGDMP + SSNI-N
89.142890.811492.4894.1486Jun 6, 2025
Updated 8mo ago

Evaluation results

MethodLinks
GDMP + SSNI-NBackbone=WRN-70-162025.0695.5746.03
GDMP + SSNI-NBackbone=WRN-70-162025.0695.5784.64
DiffPure + SSNI-NBackbone=WRN-70-162025.0695.1284.38
DiffPure + SSNI-NBackbone=WRN-70-162025.0694.4752.47
GDMP + SSNI-NBackbone=WRN-28-102025.0694.0840.95
GDMP + SSNI-NBackbone=WRN-28-102025.0694.0882.49
DiffPure + SSNI-NBackbone=WRN-28-102025.0693.9582.75
GNS + SSNI-NBackbone=WRN-70-162025.0693.8257.03
GNS + SSNI-NBackbone=WRN-70-162025.0693.8284.83
GNS + SSNI-NBackbone=WRN-28-102025.0693.5556.45
GNS + SSNI-NBackbone=WRN-28-102025.0693.5584.05
DiffPure + SSNI-NBackbone=WRN-28-102025.0693.2948.63
GDMPBackbone=WRN-70-162025.0693.143.55
GDMPBackbone=WRN-70-162025.0693.185.03
DiffPureBackbone=WRN-70-162025.0692.982.94
GDMPBackbone=WRN-28-102025.0692.4536.72
GDMPBackbone=WRN-28-102025.0692.4582.29
DiffPureBackbone=WRN-28-102025.0691.882.81
DiffPureBackbone=WRN-70-162025.0690.8952.15
GNSBackbone=WRN-28-102025.0690.156.05
GNSBackbone=WRN-28-102025.0690.183.66
DiffPureBackbone=WRN-28-102025.0689.7147.98
GNSBackbone=WRN-70-162025.0689.3956.97
GNSBackbone=WRN-70-162025.0689.3984.51