Bounding Training Data Reconstruction in DP-SGD.
Jamie HayesSaeed MahloujifarBorja BallePublished in: CoRR (2023)
Keyphrases
- training data
- dynamic programming
- decision trees
- learning algorithm
- image reconstruction
- data sets
- upper bound
- training set
- training process
- supervised learning
- noisy data
- reconstruction method
- machine learning
- training examples
- stochastic gradient descent
- compressed sensing
- training dataset
- discrete tomography
- classification models
- test data
- neural network
- classification accuracy
- high resolution
- prior knowledge
- three dimensional
- test set
- machine learning algorithms
- labeled data
- generalization error
- domain knowledge
- reconstruction error
- feature vectors