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Found 2 papers, 1 papers with code
Privacy Safe Representation Learning via Frequency Filtering Encoder
We further conduct a user study to qualitatively assess our defense of the reconstruction attack.
Knowledge Extraction with No Observable Data
Knowledge distillation is to transfer the knowledge of a large neural network into a smaller one and has been shown to be effective especially when the amount of training data is limited or the size of the student model is very small.
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