Differentially private location trace synthesis (DPLTS) has recently eme...
Federated learning (FL) is an emerging paradigm for distributed training...
Deep neural networks based object detection models have revolutionized
c...
This paper presents LDP-Fed, a novel federated learning system with a fo...
Federated learning (FL) is an emerging distributed machine learning fram...
The rapid growth of real-time huge data capturing has pushed the deep
le...
Membership inference attacks seek to infer the membership of individual
...
Location-based queries enable fundamental services for mobile road netwo...
Local Differential Privacy (LDP) is popularly used in practice for
priva...
Deep learning techniques based on neural networks have shown significant...
The burgeoning success of deep learning has raised the security and priv...
Membership inference attacks seek to infer membership of individual trai...