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Found 4 papers, 3 papers with code
RePr: Improved Training of Convolutional Filters
We show that by temporarily pruning and then restoring a subset of the model's filters, and repeating this process cyclically, overlap in the learned features is reduced, producing improved generalization.
Protecting JPEG Images Against Adversarial Attacks
As deep neural networks (DNNs) have been integrated into critical systems, several methods to attack these systems have been developed.
Deflecting Adversarial Attacks with Pixel Deflection
Despite their robustness to natural variations, image pixel values can be manipulated, via small, carefully crafted, imperceptible perturbations, to cause a model to misclassify images.
Semantic Perceptual Image Compression using Deep Convolution Networks
Here, we present a powerful cnn tailored to the specific task of semantic image understanding to achieve higher visual quality in lossy compression.
