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Adversarial Robustness on CIFAR-10 (Auto-Attack)

99.2FGSM Robust AccuracyProposed method (FGSM)
-3.86422.89349.6576.407Jan 1, 2026Jan 20, 2026Feb 8, 2026Feb 28, 2026Mar 19, 2026Apr 7, 2026Apr 27, 2026

Evaluation results

MethodLinks
Proposed method (FGSM)Re-attacking method=FGSM2026.0199.2———10010010099.491.1100——————————————
DDGSteps=1, Checkpoint Type=Best2026.0468.44———59.79—49.86———82.67————————60.4459.5759.3348.0859.48
DDGSteps=1, Checkpoint Type=Final2026.0468.27———59.12—50.01———82.84————————59.759.0758.8348.0658.23
TDATSteps=1, Checkpoint Type=Final2026.0466.29———55.62—49.74———82.72————————56.2755.5355.2647.2654.98
TDATSteps=1, Checkpoint Type=Best2026.0466.28———55.87—49.99———82.46————————56.3655.6355.4148.0655.1
LAS-AWPSteps=10, Checkpoint Type=Best2026.0465.86———55.97—51.53———82.92————————56.3755.5755.249.4654.18
LAS-AWPSteps=10, Checkpoint Type=Final2026.0465.86———55.97—51.53———82.92————————56.3755.5755.249.4654.18
MARTSteps=10, Checkpoint Type=Final2026.0465.12———53.9—49.66———82.33————————54.3852.9852.647.4652.77
FGSM-PGISteps=1, Checkpoint Type=Best2026.0465.02———54.87—50.88———81.71————————55.2654.5454.3848.654.62
FGSM-PGISteps=1, Checkpoint Type=Final2026.0465.02———54.87—50.88———81.71————————55.2654.5454.3848.654.62
FGSM-PGKSteps=1, Checkpoint Type=Final2026.0465.01———55.02—50.75———81.63————————55.7955.3455.0948.8555.28
FGSM-PGKSteps=1, Checkpoint Type=Best2026.0464.95———55.28—50.9———81.52————————56.1455.5855.3648.9455.44
MARTSteps=10, Checkpoint Type=Best2026.0464.94———54.48—49.68———82.03————————54.8353.7253.5347.7453.51
GATSteps=1, Checkpoint Type=Final2026.0464.3———52.89—49.71———81.88————————53.2352.1651.8647.0852.05
GATSteps=1, Checkpoint Type=Best2026.0464.18———53.72—49.76———81.53————————54.0553.2652.9547.6853.24
FGSM-SDISteps=1, Checkpoint Type=Final2026.0463.75———51.28—49.42———83.73————————51.8850.4950.0946.3450.43
FGSM-SDISteps=1, Checkpoint Type=Best2026.0463.6———51.46—49.09———83.55————————51.9450.6550.3446.3150.61
FGSM-RSSteps=1, Checkpoint Type=Best2026.0462———47.2—46.1———83.69————————47.6646.2945.9642.846.13
FGSM-RSSteps=1, Checkpoint Type=Final2026.0462———47.2—46.1———83.69————————47.6646.2945.9642.846.13
N-FGSMSteps=1, Checkpoint Type=Best2026.0460.93———49.59—47.37———80.35————————49.8348.7748.5144.5448.59
N-FGSMSteps=1, Checkpoint Type=Final2026.0460.93———49.59—47.37———80.35————————49.8348.7748.5144.5448.59
FGSM-FreeSteps=-, Checkpoint Type=Best2026.0460.81———48.74—46.98———81.38————————49.0748.0347.6244.3747.9
FGSM-FreeSteps=-, Checkpoint Type=Final2026.0460.81———48.74—46.98———81.38————————49.0748.0347.6244.3747.9
GradAlignSteps=1, Checkpoint Type=Best2026.0460.56———48.8—46.94———80.45————————49.1147.9647.6343.9247.85
GradAlignSteps=1, Checkpoint Type=Final2026.0460.56———48.8—46.94———80.45————————49.1147.9647.6343.9247.85
RS&Vp=12026.0157———79.769.681.858.91768.3——————————————
RS&Vp=102026.0113.9———15.214.714.914.9414.4——————————————
RS&Vp=0.12026.017.9———78.745.778.87.21.671.8——————————————
RS&Vp=0.012026.010.6———28.87.813.80.80.355.2——————————————
RS&Vp=0.0012026.010.1———13.93.23.80.40.152.5——————————————
ADBMAttack Norm=L2, Setting=preprocessor-blind2025.05———————————90.6675.890.2274.891.6577.5190.9376.34—————
ATNorm=l_inf2021.11—47.2941.086.21————————————————————
ATNorm=l_22021.11—65.6663.931.73————————————————————
Better DMGenerate data=1M, Epoch=400, Time=≈ 1,438 h2025.05——63.35———————91.12—————————————
DiffPureAttack Norm=L2, Setting=preprocessor-blind2025.05———————————89.2572.689.1372.0889.7673.4689.6372.96—————
EB-JDAT-JEM++Generate data=n/a, Epoch=100, Time=31.66 h2025.05——64.61———————90.37—————————————
EB-JDAT-SADAJEMGenerate data=n/a, Epoch=100, Time=66.64 h2025.05——66.3———————90.39—————————————
FlowPureCWAttack Norm=L2, Setting=preprocessor-blind2025.05———————————51.8451.4846.6646.6693.7793.7785.3485.34—————
FlowPureGaussAttack Norm=L2, Setting=preprocessor-blind2025.05———————————89.0773.7189.1473.4589.4174.2289.1273.17—————
FlowPurePGDAttack Norm=L2, Setting=preprocessor-blind2025.05———————————16.416.4101091.8491.8480.9680.96—————
GDMPAttack Norm=L2, Setting=preprocessor-blind2025.05———————————91.7379.3391.6478.6392.480.692.0779.9—————
LMAttack Norm=L2, Setting=preprocessor-blind2025.05———————————70.6249.0370.4548.2979.9659.4879.6360.12—————
SCOREGenerate data=1M, Epoch=400, Time=≈ 1,438 h2025.05——61.51———————88.1—————————————
Sub-ATNorm=l_inf2021.11—48.3747.880.49————————————————————
Sub-ATNorm=l_22021.11—66.9967.15-0.16————————————————————
The method proposed by [15]Generate data=100M, Epoch=2000, Time=≈ 719,460 h2025.05——63.38———————87.5—————————————