The success of machine learning (ML) has been accompanied by increased
c...
Graph neural networks (GNNs) have emerged as a state-of-the-art approach...
Machine learning (ML) models have been deployed for high-stakes applicat...
Private computation, which includes techniques like multi-party computat...
Model explanations provide transparency into a trained machine learning
...
Machine learning (ML) models have been deployed for high-stakes applicat...
Data used to train machine learning (ML) models can be sensitive. Member...
Machine learning models are typically made available to potential client...
Embedded systems demand on-device processing of data using Neural Networ...
Graph embeddings have been proposed to map graph data to low dimensional...
Black Box Machine Learning models leak information about the proprietary...
Artificial Intelligence systems require a through assessment of differen...
Deep Learning Accelerators are prone to faults which manifest in the for...
Deep learning is gaining importance in many applications and Cloud
infra...
Anonymous communication networks are popular for providing a means of co...