This is the official repository for our USENIX 2023 paper "A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots"
- TargetTask.py: Train shadow/target models. Dataset, hyperparameter settings can be adjusted within file
- CreateTSNE.py: Create t-SNE plots using the default settings. Parameters can be adjusted within the file.
- TSNEAttack.py: Train and evaluate t-SNE attack models.
- LossPlot.py: Create loss curve plots for shadow/target models.
- LossPredict.py: Train and evaluate loss plots attack models