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Improvedtechniquesfordeterministicl2robustness
Neural Information Processing Systems
Gradient NormPreserving (GNP) architectures where each layer preserves the gradient norm during backpropagation. For 1-Lipschitz Convolutional Neural Networks (CNNs), this involves using orthogonal convolutions (convolution layers with an orthogonal Jacobian matrix) [Li et al., 2019b, Trockman and Kolter,
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977f8b33d303564416bf9f4ab1c39720-Paper.pdf
Neural Information Processing Systems
Inmanycases,thenumber ofdimensions in the data is much larger than the number of actual data samples.
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