Search Results for author:
Found 3 papers, 2 papers with code
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.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
