48 citations · 331 across the 20 of their papers we have counts for
4 papers · 1 filter
M3BAT: Unsupervised Domain Adaptation for Multimodal Mobile Sensing with Multi-Branch Adversarial Training
Lakmal Meegahapola, Hamza Hassoune, Daniel Gatica-Perez
Over the years, multimodal mobile sensing has been used extensively for inferences regarding health and well being, behavior, and context. However, a significant challenge hinderin…
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Sina Sajadmanesh, Daniel Gatica-Perez
Graph Neural Networks (GNNs) have become a popular tool for learning on graphs, but their widespread use raises privacy concerns as graph data can contain personal or sensitive inf…
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
Sina Sajadmanesh, Ali Shahin Shamsabadi, Aurélien Bellet +1
In this paper, we study the problem of learning Graph Neural Networks (GNNs) with Differential Privacy (DP). We propose a novel differentially private GNN based on Aggregation Pert…
Locally Private Graph Neural Networks
Sina Sajadmanesh, Daniel Gatica-Perez
Graph Neural Networks (GNNs) have demonstrated superior performance in learning node representations for various graph inference tasks. However, learning over graph data can raise…