Fully homomorphic encryption (FHE) is in the spotlight as a definitive
s...
While generative modeling on multimodal image-text data has been activel...
Convolutional neural network (CNN) inference using fully homomorphic
enc...
Episodic count has been widely used to design a simple yet effective
int...
Homomorphic Encryption (HE) is one of the most promising post-quantum
cr...
In this report, we summarize the takeaways from the first NeurIPS 2021
N...
Homomorphic encryption (HE) enables the secure offloading of computation...
Large-batch training has been essential in leveraging large-scale datase...
In this paper, we propose a novel edge-labeling graph neural network (EG...