4 papers · 1 filter
CFD-HAR: User-controllable Privacy through Conditional Feature Disentanglement
Alex Gn, Fan Li, S Kuniyilh +1
Modern wearable and mobile devices are equipped with inertial measurement units (IMUs). Human Activity Recognition (HAR) applications running on such devices use machine-learning-b…
Backdoor Attacks on Contrastive Continual Learning for IoT Systems
Alfous Tim, Kuniyilh Simi D
The Internet of Things (IoT) systems increasingly depend on continual learning to adapt to non-stationary environments. These environments can include factors such as sensor drift,…
Contrastive Learning for Privacy Enhancements in Industrial Internet of Things
Lin Liu, Rita Machacy, Simi Kuniyilh
The Industrial Internet of Things (IIoT) integrates intelligent sensing, communication, and analytics into industrial environments, including manufacturing, energy, and critical in…
Backdoor Attacks on Multi-modal Contrastive Learning
Simi D Kuniyilh, Rita Machacy
Contrastive learning has become a leading self- supervised approach to representation learning across domains, including vision, multimodal settings, graphs, and federated learning…