Smarter applications are making better use of the insights gleaned from data, having an
impact on every industry and research discipline. At the core of this revolution lies the tools …

Today's Industrial Internet of Things (IIoT) have achieved excellent manufacturing efficiency
and automation results by leveraging machine learning (ML) and deep learning (DL) …

Deep neural networks (DNNs) are vulnerable to the adversarial attack which is maliciously
implemented by adding human-imperceptible perturbation to images and thus leads to …

The softmax cross-entropy loss function has been widely used to train deep models for
various tasks. In this work, we propose a Gaussian mixture (GM) loss function for deep …

Deep neural networks, particularly convolutional neural networks, are vulnerable to
adversarial examples, undermining their reliability in visual recognition tasks. Adversarial …

Deep learning is becoming increasingly relevant for many high-stakes applications such as
autonomous driving or medical diagnosis where wrong decisions can have massive impact …

This technical report describes a new feature of the CleverHans library called" attack
bundling". Many papers about adversarial examples present lists of error rates …

Data insights are being better utilised by smarter applications, which has an impact on every
business and field of study. The tools and processes that are powering this change, from …