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Membership Inference Attack on CIFAR-10 (AUC, EER, TPR)

0.9686AUCCoLA
0.4940480.6172490.740450.863651Apr 3, 2026Apr 4, 2026Apr 6, 2026Apr 8, 2026Apr 10, 2026Apr 12, 2026Apr 14, 2026

Evaluation results

MethodLinks
CoLAIntensity=Heavy (r = 0.6), Setting=SP-MIA2026.040.9686——88.6——
CoLAIntensity=Extensive (r = 0.8), Setting=SP-MIA2026.040.922——91.86——
CoLAIntensity=Heavy (r = 0.6), Setting=TM-MIA2026.040.8906——60.36——
CoLAIntensity=Medium (r = 0.4), Setting=TM-MIA2026.040.8853——60.1——
CoLAIntensity=Light (r = 0.2), Setting=TM-MIA2026.040.8377——42.19——
CoLAIntensity=Medium (r = 0.4), Setting=SP-MIA2026.040.8193——42.66——
CoLAIntensity=Extensive (r = 0.8), Setting=TM-MIA2026.040.8074——49.76——
Adversarially Robust LiRAlambda=10, perturbation budget=4.0/2552026.040.793728.233.617.9532.9557
Adversarially Robust LiRAlambda=15, perturbation budget=4.0/2552026.040.792728.433.5517.0531.9555.5
Adversarially Robust LiRAlambda=5, perturbation budget=4.0/2552026.040.792528.954.5518.4534.3557.05
Adversarially Robust LiRAlambda=20, perturbation budget=4.0/2552026.040.791328.63.516.9531.2554.25
Adversarially Robust LiRAlambda=25, perturbation budget=4.0/2552026.040.789728.623.516.630.9554.05
Adversarially Robust LiRAlambda=30, perturbation budget=4.0/2552026.040.788228.853.516.529.952.4
Adversarially Robust LiRAlambda=35, perturbation budget=4.0/2552026.040.786929.033.316.229.6552
LiRAIntensity=Light (r = 0.2), Setting=TM-MIA2026.040.6986——15.74——
LiRA Baselineperturbation budget=4.0/2552026.040.683238.482.89.5517.5532.25
NN_clsIntensity=Light (r = 0.2), Setting=TM-MIA2026.040.6724——19.3——
NN_clsIntensity=Medium (r = 0.4), Setting=TM-MIA2026.040.6684——12.51——
NNIntensity=Light (r = 0.2), Setting=TM-MIA2026.040.64——12.13——
LiRAIntensity=Medium (r = 0.4), Setting=TM-MIA2026.040.6296——4.61——
NN_clsIntensity=Extensive (r = 0.8), Setting=TM-MIA2026.040.628——11.27——
NN_top3Intensity=Light (r = 0.2), Setting=TM-MIA2026.040.6157——8.93——
LiRAIntensity=Extensive (r = 0.8), Setting=SP-MIA2026.040.6154——5.09——
NNIntensity=Extensive (r = 0.8), Setting=TM-MIA2026.040.6141——10.99——
CoLAIntensity=Light (r = 0.2), Setting=SP-MIA2026.040.6139——14.24——
NN_top3Intensity=Medium (r = 0.4), Setting=TM-MIA2026.040.6037——2.91——
NN_top3Intensity=Extensive (r = 0.8), Setting=TM-MIA2026.040.6013——4.21——
NNIntensity=Medium (r = 0.4), Setting=TM-MIA2026.040.5984——10.8——
LiRAIntensity=Extensive (r = 0.8), Setting=TM-MIA2026.040.5966——4.63——
NN_top3Intensity=Extensive (r = 0.8), Setting=SP-MIA2026.040.5956——4——
NN_clsIntensity=Heavy (r = 0.6), Setting=TM-MIA2026.040.5744——19.63——
NN_clsIntensity=Extensive (r = 0.8), Setting=SP-MIA2026.040.5666——7.6——
NNIntensity=Extensive (r = 0.8), Setting=SP-MIA2026.040.5564——7.59——
NNIntensity=Heavy (r = 0.6), Setting=TM-MIA2026.040.55——19.31——
LiRAIntensity=Medium (r = 0.4), Setting=SP-MIA2026.040.5499——5.31——
NN_clsIntensity=Medium (r = 0.4), Setting=SP-MIA2026.040.5451——6.64——
LiRAIntensity=Heavy (r = 0.6), Setting=SP-MIA2026.040.5369——4.26——
NN_top3Intensity=Medium (r = 0.4), Setting=SP-MIA2026.040.5359——3.56——
NN_clsIntensity=Heavy (r = 0.6), Setting=SP-MIA2026.040.5353——12.37——
NN_top3Intensity=Heavy (r = 0.6), Setting=SP-MIA2026.040.532——2.8——
LiRAIntensity=Heavy (r = 0.6), Setting=TM-MIA2026.040.5261——2.81——
NN_top3Intensity=Heavy (r = 0.6), Setting=TM-MIA2026.040.524——1.67——
NNIntensity=Medium (r = 0.4), Setting=SP-MIA2026.040.5233——6.31——
NNIntensity=Heavy (r = 0.6), Setting=SP-MIA2026.040.5221——12.2——
NN_top3Intensity=Light (r = 0.2), Setting=SP-MIA2026.040.5177——3.34——
NN_clsIntensity=Light (r = 0.2), Setting=SP-MIA2026.040.5159——6.37——
LiRAIntensity=Light (r = 0.2), Setting=SP-MIA2026.040.5126——6.43——
NNIntensity=Light (r = 0.2), Setting=SP-MIA2026.040.5123——5.83——