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Found 6 papers, 0 papers with code
MIQCQP reformulation of the ReLU neural networks Lipschitz constant estimation problem
It is well established that to ensure or certify the robustness of a neural network, its Lipschitz constant plays a prominent role.
Canonical foliations of neural networks: application to robustness
The result show that the proposed attack is more efficient at all levels of available budget for the attack (norm of the attack), confirming that the curvature of the transverse neural network FIM foliation plays an important role in the robustness of neural networks.
Robust SVM Optimization in Banach spaces
We address the issue of binary classification in Banach spaces in presence of uncertainty.
Convolutional Neural Network for Multipath Detection in GNSS Receivers
To take advantage of CNN, the correlator output signal is mapped as a 2D input image and fed to the convolutional layers of a neural network.
The coupling effect of Lipschitz regularization in deep neural networks
We investigate robustness of deep feed-forward neural networks when input data are subject to random uncertainties.
Feature uncertainty bounding schemes for large robust nonlinear SVM classifiers
We consider the binary classification problem when data are large and subject to unknown but bounded uncertainties.
