Efficient Server-Aided 2PC for Mobile Phones

Efficient Server-Aided 2PC for Mobile Phones

Secure Two-Party Computation (2PC) protocols allow two parties to compute a function of their private inputs without revealing any information besides the output of the computation. There exist low cost general-purpose protocols for semi-honest parties that can be efficiently executed even on smartphones. However, for the case of malicious parties, current 2PC protocols are significantly less e...

OCR for Mobile Phones

Lighting, camera resolution and focus, skew (shear), and processing power all contribute to the difficulties in developing effective OCR applications using mobile phones. We propose a novel algorithm using PCA, divergence, and a global neural network to develop an OCR package that levers user-specific parameters with a neural network trained on an extended data set.

Multi-core for mobile phones

Energy-efficient Continuous Context Sensing on Mobile Phones

With the ever increasing adoption of smartphones worldwide, researchers have found the perfect sensor platform to perform context-based research and to prepare for context-based services to be also deployed for the end-users. However, continuous context sensing imposes a considerable challenge in balancing the energy consumption of the sensors, the accuracy of the recognized context and its lat...

SpeakerSense: Energy Efficient Unobtrusive Speaker Identification on Mobile Phones

Automatically identifying the person you are talking with using continuous audio sensing has the potential to enable many pervasive computing applications from memory assistance to annotating life logging data. However, a number of challenges, including energy efficiency and training data acquisition, must be addressed before unobtrusive audio sensing is practical on mobile devices. We built Sp...