Crowdsourcing using mobile devices, known as mobile crowdsourcing, is a powerful
approach incorporating human wisdom into mobile computations to solve problems while …

Advances in artificial intelligence (AI) have shaped today's user services, enabling
enhanced personalization and better support. As such AI-based services inevitably require …

Randomized Aggregatable Privacy-Preserving Ordinal Response, or RAPPOR, is a
technology for crowdsourcing statistics from end-user client software, anonymously, with …

Anonymity is among the important properties of two-factor authentication schemes for
wireless sensor networks (WSNs) to preserve user privacy. Though impressive efforts have …

With the proliferation of increasingly powerful mobile devices, mobile users can
collaboratively form a mobile cloud to provide pervasive services, such as data collecting …

Smartphones can collect considerable context data about the user, ranging from apps used
to places visited. Frequent user patterns discovered from longitudinal, multi-modal context …

Smartphones are excellent mobile sensing platforms, with the microphone in particular
being exercised in several audio inference applications. We take smartphone audio …

Crowdsourcing is a crowd-based outsourcing, where a requester (task owner) can
outsource tasks to workers (public crowd). Recently, mobile crowdsourcing, which can …

Smart phones are used to collect and share personal data with untrustworthy third-party
apps, often leading to data misuse and privacy violations. Unfortunately, state-of-the-art …

Distributed collaborative learning has enabled building machine learning models from
distributed mobile users' data. It allows the server and users to collaboratively train a …