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Image Membership Inference Attack on VL-MIA Flickr (test)

0.999AUCDistractMIA
0.550760.667130.78350.89987Nov 5, 2024Feb 6, 2025May 10, 2025Aug 11, 2025Nov 12, 2025Feb 13, 2026May 17, 2026

Evaluation results

MethodLinks
DistractMIATarget Model=LLaMA2-A, K=302026.050.999————————————
DistractMIATarget Model=LLaVA, K=302026.050.989————————————
DistractMIATarget Model=Average, K=302026.050.989————————————
DistractMIATarget Model=MiniGPT-4, K=302026.050.98————————————
PerplexityTarget Model=LLaVA, K=302026.050.968————————————
PerplexityTarget Model=MiniGPT-4, K=302026.050.961————————————
DistractMIATarget Model=LLaMA2-A, K=102026.050.961————————————
PerplexityTarget Model=Average, K=302026.050.942————————————
Max-Prob-GapTarget Model=LLaMA2-A, K=302026.050.937————————————
DistractMIATarget Model=Average, K=102026.050.916————————————
Max-Prob-GapTarget Model=Average, K=302026.050.911————————————
DistractMIATarget Model=LLaVA, K=102026.050.911————————————
Max-Prob-GapTarget Model=MiniGPT-4, K=302026.050.903————————————
PerplexityTarget Model=LLaVA, K=102026.050.898————————————
PerplexityTarget Model=LLaMA2-A, K=302026.050.897————————————
Min-K%Target Model=LLaVA, K=302026.050.897————————————
MaxRényi-K%Target Model=LLaVA, K=302026.050.896————————————
ModRényiTarget Model=LLaVA, K=302026.050.895————————————
Max-Prob-GapTarget Model=LLaVA, K=302026.050.892————————————
Min-K%Target Model=Average, K=302026.050.887————————————
Min-K%Target Model=LLaMA2-A, K=302026.050.886————————————
Min-K%Target Model=MiniGPT-4, K=302026.050.877————————————
ModRényiTarget Model=Average, K=302026.050.876————————————
DistractMIATarget Model=MiniGPT-4, K=102026.050.875————————————
Min-K%Target Model=LLaVA, K=102026.050.873————————————
ModRényiTarget Model=MiniGPT-4, K=302026.050.87————————————
ModRényiTarget Model=LLaMA2-A, K=302026.050.862————————————
PerplexityTarget Model=Average, K=102026.050.845————————————
MaxRényi-K%Target Model=Average, K=302026.050.845————————————
PerplexityTarget Model=MiniGPT-4, K=102026.050.842————————————
MaxRényi-K%Target Model=MiniGPT-4, K=302026.050.821————————————
CSA-MIAType=Black-Box, Target Model=LLaVA-1.52026.050.8210.0080.090.90.540.2870.3370.8710.6430.4010.510.8320.703
Max-Prob-GapTarget Model=LLaMA2-A, K=102026.050.82————————————
MaxRényi-K%Target Model=LLaMA2-A, K=302026.050.817————————————
ModRényiTarget Model=LLaVA, K=102026.050.797————————————
Max-Prob-GapTarget Model=Average, K=102026.050.795————————————
PerplexityTarget Model=LLaMA2-A, K=102026.050.794————————————
Max-Prob-GapTarget Model=LLaVA, K=102026.050.787————————————
Max-Prob-GapTarget Model=MiniGPT-4, K=102026.050.778————————————
Min-K%Target Model=Average, K=102026.050.778————————————
MaxRényi-K%Target Model=LLaVA, K=102026.050.763————————————
MaxRényi-K%Target Model=Average, K=102026.050.754————————————
ModRényiTarget Model=MiniGPT-4, K=102026.050.752————————————
MaxRényi-K%Target Model=MiniGPT-4, K=102026.050.751————————————
MaxRényi-K%Target Model=LLaMA2-A, K=102026.050.75————————————
ModRényiTarget Model=Average, K=102026.050.749————————————
Min-K%Target Model=LLaMA2-A, K=102026.050.743————————————
MaxRényi_Max_100%Type=Gray-Box, Target Model=LLaVA-1.52026.050.7230.0630.0730.880.5320.1770.2270.8190.5880.360.330.7670.615
MaxRényi_Max_10%Type=Gray-Box, Target Model=LLaVA-1.52026.050.7190.0770.0870.8970.5380.110.1530.780.5550.350.3070.7540.603
Min-K%Target Model=MiniGPT-4, K=102026.050.717————————————
DistractMIATarget Model=LLaMA2-A, K=12026.050.711————————————
ModRényiTarget Model=LLaMA2-A, K=102026.050.697————————————
PerplexityType=Gray-Box, Target Model=LLaVA-1.52026.050.6910.0630.0730.880.5320.110.1570.7710.5550.30.260.7220.58
MaxRényi_Max_0%Type=Gray-Box, Target Model=LLaVA-1.52026.050.6890.0570.0670.870.5280.1670.2170.8130.5830.3170.2670.7270.583
ModRényiType=Gray-Box, Target Model=LLaVA-1.52026.050.6780.0670.0770.8850.5330.0770.1270.7170.5380.2830.2330.70.567
DistractMIATarget Model=Average, K=12026.050.675————————————
Min_20% ProbType=Gray-Box, Target Model=LLaVA-1.52026.050.6740.0630.0730.880.5320.1130.1630.7660.5570.2730.250.7210.577
Max_Prob_GapType=Gray-Box, Target Model=LLaVA-1.52026.050.6730.0330.0430.8130.5170.1230.1730.7760.5620.30.320.7620.61
DistractMIATarget Model=LLaVA, K=12026.050.671————————————
Min_10% ProbType=Gray-Box, Target Model=LLaVA-1.52026.050.670.050.060.8570.5250.120.1670.7810.560.280.220.6950.562
Min-20% ++Type=Gray-Box, Target Model=LLaVA-1.52026.050.6470.0170.0270.7270.5080.1570.2070.8050.5780.250.30.750.6
Min-K%Target Model=LLaVA, K=12026.050.645————————————
DistractMIATarget Model=MiniGPT-4, K=12026.050.643————————————
KCMPTarget Model=LLaVA, K=302026.050.639————————————
Max-Prob-GapTarget Model=LLaVA, K=12026.050.638————————————
Min_0% ProbType=Gray-Box, Target Model=LLaVA-1.52026.050.6380.0470.0570.850.5230.0770.1230.7260.5380.210.2270.6940.563
Min-10% ++Type=Gray-Box, Target Model=LLaVA-1.52026.050.6380.0270.0370.7860.5130.080.130.7220.540.260.220.6880.56
PerplexityTarget Model=LLaVA, K=12026.050.637————————————
PerplexityTarget Model=MiniGPT-4, K=12026.050.634————————————
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=1, Max_K%=100%2024.110.63————————————
PerplexityTarget Model=Average, K=12026.050.629————————————
Aug_KLType=Gray-Box, Target Model=LLaVA-1.52026.050.627-0.01000.4950.0170.0630.5760.5080.2270.1570.6180.53
Aug-KLTarget Model=LLaMA2-A, K=302026.050.618————————————
KCMPTarget Model=MiniGPT-4, K=302026.050.618————————————
PerplexityTarget Model=LLaMA2-A, K=12026.050.617————————————
Max-Prob-GapTarget Model=Average, K=12026.050.616————————————
Max-Prob-GapTarget Model=LLaMA2-A, K=12026.050.614————————————
Min-0% ++Type=Gray-Box, Target Model=LLaVA-1.52026.050.6080.0370.0470.8240.5180.0230.070.60.5120.1970.180.6430.54
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=0.5, Max_K%=100%2024.110.605————————————
Min-K%Target Model=Average, K=12026.050.605————————————
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=0.5, Max_K%=10%2024.110.604————————————
Min-K%Target Model=MiniGPT-4, K=12026.050.601————————————
Max-Prob-GapTarget Model=MiniGPT-4, K=12026.050.596————————————
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=2, Max_K%=100%2024.110.595————————————
KCMPTarget Model=Average, K=302026.050.594————————————
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=1, Max_K%=10%2024.110.591————————————
Image-only InferenceType=Black-Box, Target Model=LLaVA-1.52026.050.5870000.5-0.0030.0470.4670.4970.0030.1030.5080.502
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=∞, Max_K%=100%2024.110.583————————————
MaxRényi-K%Target Model=LLaVA, K=12026.050.583————————————
MaxRényi-K%Target Model=MiniGPT-4, K=12026.050.58————————————
MaxRényi-K%Target Model=Average, K=12026.050.58————————————
KCMPTarget Model=LLaVA, K=102026.050.58————————————
MaxRényi-K%Target Model=LLaMA2-A, K=12026.050.578————————————
Aug-KLTarget Model=LLaVA, K=102026.050.576————————————
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=2, Max_K%=10%2024.110.574————————————
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=1, Max_K%=0%2024.110.572————————————
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=2, Max_K%=0%2024.110.572————————————
Image Infer (Rouge)Target Model=MiniGPT-4, K=302026.050.572————————————
MaxRényi-K%Target Model=GPT-4-vision-preview, Alpha (α)=0.5, Max_K%=0%2024.110.571————————————
Min-K%Target Model=LLaMA2-A, K=12026.050.568————————————