MI Reconstruction Collection MI Reconstruction Collection is a reconstruction dataset for model inversion evaluation. It contains AttackSamples/ organized by private dataset, attack method, public dataset, and target model. Download The evaluation code expects this dataset to live under an AttackSamples/ directory. Dataset structure Example layout: Within each evaluation setup, you will typically find: all images/ : reconstructed images to evaluate private data/ : class organized reference images used to build the comparison set result files such as gemini results .csv or prediction.csv when available Evaluation Use the reference evaluation codebase here: hosytuyen/MI Eval MLLM In that repo: use evaluation.ipynb to generate and run MLLM based evaluation use analysis.ipynb to compare MLLM labels against conventional MI evaluation outputs Links Paper: arXiv:2505.03519 Evaluation Code: hosytuyen/MI Eval MLLM Project page: FMLLM
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