Federated learning (FL) was originally regarded as a framework for
colla...
Recent development in the field of explainable artificial intelligence (...
Graph neural networks (GNNs) are susceptible to privacy inference attack...
In this paper, we introduce a novel concept of user-entity differential
...
In this paper, we show that the process of continually learning new task...
This paper explores previously unknown backdoor risks in HyperNet-based
...
In this paper, we focus on preserving differential privacy (DP) in conti...
In this paper, we introduce a novel interpreting framework that learns a...