Add time series signals and configurable shadow model sampling[working]#368
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Add time series signals and configurable shadow model sampling[working]#368
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- Add DTW and MSM signal classes for time series distance metrics
- Add msm.py utility for Move-Split-Merge distance calculation
- Add sample_shadow_indices() to AbstractInputHandler for custom sampling
- Add configurable sampling_method ('balanced'/'random') to shadow models
- Fix dataset params propagation using population.return_params()
- Add optimizer param filtering to prevent invalid argument errors
fazelehh
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Summary
signal.pywith optional sktime dependencymsm.py) for multivariate time seriessampling_methodparameter to shadow model training ("balanced" or "random")sample_shadow_indices()method to AbstractInputHandler for custom sampling strategiespopulation.return_params()sampling_methodfield to ShadowModelConfig schemaFiles Changed
leakpro/signals/signal.py- Added DTW, MSM signalsleakpro/signals/utils/msm.py- New MSM distance utilityleakpro/attacks/utils/shadow_model_handler.py- Configurable sampling_methodleakpro/input_handler/abstract_input_handler.py- sample_shadow_indices methodleakpro/input_handler/mia_handler.py- Dataset params fixleakpro/schemas.py- sampling_method fieldTest plan