Recent advances in Internet of Things (IoT) have enabled myriad domains such as smart
homes, personal monitoring devices, and enhanced manufacturing. IoT is now pervasive—new …

Recent studies show that the state-of-the-art deep neural networks (DNNs) are vulnerable
to adversarial examples, resulting from small-magnitude perturbations added to the input. …

Recently, several competing smart home programming frameworks that support third party
app development have emerged. These frameworks provide tangible benefits to users, but …

Deep neural network-based classifiers are known to be vulnerable to adversarial examples
that can fool them into misclassifying their input through the addition of small-magnitude …

Deep neural networks (DNNs) are vulnerable to adversarial examples—maliciously crafted
inputs that cause DNNs to make incorrect predictions. Recent work has shown that these …

The Internet-of-Things (IoT) has quickly evolved to a new appified era where third-party
developers can write apps for IoT platforms using programming frameworks. Like other appified …

Emerging IoT programming frameworks enable building apps that compute on sensitive
data produced by smart homes and wearables. However, these frameworks only support …

Computing is transitioning from single-user devices to the Internet of Things (IoT), in which
multiple users with complex social relationships interact with a single device. Currently …

Augmented reality (AR) and virtual reality (VR) devices are emerging as prominent contenders
to today’s personal computers. As personal devices, users will use AR and VR to store …

Trigger-Action platforms are web-based systems that enable users to create automation
rules by stitching together online services representing digital and physical resources using …