This is an implementation of our work "Feature Distillation DNN-Oriented JPEG Compression Against Adversarial Examples" https://arxiv.org/pdf/1803.05787.pdf We add ...

This repository demonstrates how to train a small language model to perform a specific task by learning from examples generated by a larger, more capable model. The specific task here is generating ...

Deep neural networks (DNNs) are easily fooled by adversarial examples. Most existing defense strategies defend against adversarial examples based on full information of whole images. In reality, one ...

Abstract: Deep neural networks (DNNs) have always been a popular base model in many image classification tasks. However, some recent works suggest that there are some man made images will easily lead ...

Water Desalination and Reuse Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia ...