Keystroke privacy is critical for ensuring the security of computer systems and the privacy of
human users as what being typed could be passwords or privacy sensitive information. In …

We evaluate two decades of proposals to replace text passwords for general-purpose user
authentication on the web using a broad set of twenty-five usability, deployability and …

Wi‐Fi technology has strong potentials in indoor and outdoor sensing applications; it has
several important features which makes it an appealing option compared to other sensing …

In this study, we present WindTalker, a novel and practical keystroke inference framework
that allows an attacker to infer the sensitive keystrokes on a mobile device through WiFi …

Computer keyboards are often used to transmit confidential data such as passwords. Since
they contain electronic components, keyboards eventually emit electromagnetic waves …

Covert channels can be used to circumvent system and network policies by establishing
communications that have not been considered in the design of the computing system. We …

Wearable computing is rapidly getting deployed in many—commercial, medical, and
personal—domains of day-to-day life. Wearable devices appear in various forms, shapes …

The proliferation of wearable devices, eg, smartwatches and activity trackers, with
embedded sensors has already shown its great potential on monitoring and inferring human …

Research on attacks which exploit video-based side-channels to decode text typed on a
smartphone has traditionally assumed that the adversary is able to leverage some …

Learning useful representations from unstructured data is one of the core challenges, as
well as a driving force, of modern data-driven approaches. Deep learning has demonstrated …