List your company

Membership Inference Attack on VLLM instruction-tuning texts length 32 1.0 (test)

0.809ModRényi Divergence (α=0.5)ModRényi
0.804760.833380.8620.89062Nov 5, 2024

Evaluation results

MethodLinks
ModRényiTarget Model=LLaVA2024.110.809———————0.8080.779————————————
ModRényiTarget Model=LLaVA, α=0.52024.110.809—————————————————————
ModRényiTarget Model=LLaMA Adapter2024.110.844———————0.8760.815————————————
ModRényiTarget Model=MiniGPT-42024.110.915———————0.9520.892————————————
Max_Prob_GapTarget Model=LLaVA2024.11———————0.461——————————————
Max_Prob_GapTarget Model=LLaVA2024.11———————0.465——————————————
MaxRényi-K%Target Model=LLaVA2024.11——————————0.5060.4580.5640.5520.5660.5540.5890.6070.5530.60.6180.557
MaxRényi-K%Target Model=MiniGPT-42024.11——————————0.5330.3680.8050.5280.5660.7560.6480.6810.7550.6790.6880.747
MaxRényi-K%Target Model=LLaMA Adapter2024.11——————————0.5170.5050.570.590.5910.5610.6150.610.5540.6120.6150.549
MaxRényi-K%Target Model=LLaVA, α=0.5, K=0%2024.11——————————0.504———————————
MaxRényi-K%Target Model=LLaVA, α=0.5, K=10%2024.11———————————0.458——————————
MaxRényi-K%Target Model=LLaVA, α=0.5, K=100%2024.11————————————0.573—————————
MaxRényi-K%Target Model=LLaVA, α=1, K=0%2024.11—————————————0.544————————
MaxRényi-K%Target Model=LLaVA, α=1, K=10%2024.11——————————————0.557———————
MaxRényi-K%Target Model=LLaVA, α=1, K=100%2024.11———————————————0.555——————
MaxRényi-K%Target Model=LLaVA, α=2, K=0%2024.11————————————————0.577—————
MaxRényi-K%Target Model=LLaVA, α=2, K=10%2024.11—————————————————0.593————
MaxRényi-K%Target Model=LLaVA, α=2, K=100%2024.11——————————————————0.554———
MaxRényi-K%Target Model=LLaVA, α=∞, K=0%2024.11———————————————————0.582——
MaxRényi-K%Target Model=LLaVA, α=∞, K=10%2024.11————————————————————0.595—
MaxRényi-K%Target Model=LLaVA, α=∞, K=100%2024.11—————————————————————0.555
Min-K% ProbTarget Model=LLaVA, K=0%2024.11————0.525—————————————————
Min-K% ProbTarget Model=LLaVA, K=10%2024.11—————0.463————————————————
Min-K% ProbTarget Model=LLaVA, K=20%2024.11——————0.598———————————————
Min-k% Prob methodsTarget Model=LLaVA2024.11————0.5220.4610.603———————————————
ModRényiTarget Model=LLaVA, α=12024.11————————0.811—————————————
ModRényiTarget Model=LLaVA, α=22024.11—————————0.78————————————
PerplexityTarget Model=LLaVA2024.11—0.784————————————————————
Perplexity-based methodsTarget Model=LLaVA2024.11—0.7790.6090.962——————————————————
Perplexity/lowercaseTarget Model=LLaVA2024.11———0.965——————————————————
Perplexity/zlibTarget Model=LLaVA2024.11——0.626———————————————————