There has been a recent surge in research on adversarial perturbations that defeat Deep
Neural Networks (DNNs) in machine vision; most of these perturbation-based attacks target …

Users rely on ad and tracker blocking tools to protect their privacy. Unfortunately, existing ad
and tracker blocking tools are susceptible to mutable advertising and tracking content. In this …

The emergence of Internet of Things (IoT) brings about new security challenges at the
intersection of cyber and physical spaces. One prime example is the vulnerability of Face …

Modern web applications are built by combining functionality from external third parties; with
the caveat that the website developers trust them. However, third parties come from various …

Although encryption hides the content of communications from third parties, metadata, ie, the
information attached to the content (such as the size or timing of communication) can be a …

Abstract Deep Neural Networks (DNNs) have achieved state-of-the-art performance on a
wide range of tasks, thus are increasingly deployed in real-world applications. However …

Globally, hundreds of millions of Internet users worldwide are using ad-blocking systems. By
blocking the ads and trackers on the web pages, Internet users can enhance security …