277 citations · 1.4k across the 59 of their papers we have counts for
9 papers · 1 filter
Privacy and Utility Preserving Sensor-Data Transformations
Mohammad Malekzadeh, Richard G. Clegg, Andrea Cavallaro +1
Sensitive inferences and user re-identification are major threats to privacy when raw sensor data from wearable or portable devices are shared with cloud-assisted applications. To…
BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices
Matteo Varvello, Kleomenis Katevas, Mihai Plesa +2
Recent advances in cloud computing have simplified the way that both software development and testing are performed. Unfortunately, this is not true for battery testing for which s…
Emotion Filtering at the Edge
Ranya Aloufi, Hamed Haddadi, David Boyle
Voice controlled devices and services have become very popular in the consumer IoT. Cloud-based speech analysis services extract information from voice inputs using speech recognit…
Privacy-Preserving Bandits
Mohammad Malekzadeh, Dimitrios Athanasakis, Hamed Haddadi +1
Contextual bandit algorithms~(CBAs) often rely on personal data to provide recommendations. Centralized CBA agents utilize potentially sensitive data from recent interactions to pr…
Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants
Ranya Aloufi, Hamed Haddadi, David Boyle
Voice-enabled interactions provide more human-like experiences in many popular IoT systems. Cloud-based speech analysis services extract useful information from voice input using s…
Towards Characterizing and Limiting Information Exposure in DNN Layers
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas +2
Pre-trained Deep Neural Network (DNN) models are increasingly used in smartphones and other user devices to enable prediction services, leading to potential disclosures of (sensiti…