Signals refactor
- Langage dominant
- Python
- Étoiles
- 23
- Forks
- 28
- Merge moyen
- 4 j 12 h
- PR mergées (30 j)
- 5
Description
# Feature
Signals refactor
Refactor signal.py and attacks such that:
- [ ] Getting raw model outputs can be abstracted into the Signal base class, individual signal will simply do some numpy operations on raw model outputs.
- [ ] Allow user to enable caching of model outputs, if for example running attack with different signals.
- [ ] Allow user to enable caching of signals in cases such as RMIA hyper-parameter tuning.
- [ ] Softmax logits in RMIA (with temperature parameter) should be a signal in signal.py
- [ ] Allow user to specify signal in attack config.
- [x] Eval batch size should be be a global audit parameter, not attack parameter.
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