Research question
Can a model's outputs be used to reconstruct sensitive training inputs?
Key findings
- Confidence scores allow reconstruction of recognisable faces from a face-recognition model - Rounding confidences limits the attack
Introduced model inversion, reconstructing training faces from a classifier's confidence outputs, the ancestor of training-data extraction attacks.
Can a model's outputs be used to reconstruct sensitive training inputs?
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