Existing unsupervised hashing methods typically adopt a feature similari...
Large-scale weakly supervised product retrieval is a practically useful ...
A deep hashing model typically has two main learning objectives: to make...
This paper proposes a novel ternary hash encoding for learning to hash
m...
Ever since Machine Learning as a Service (MLaaS) emerges as a viable bus...
Deep neural networks (DNNs) are known to be prone to adversarial attacks...
By and large, existing Intellectual Property Right (IPR) protection on d...
This paper investigates capabilities of Privacy-Preserving Deep Learning...
With the rapid development of deep neural networks (DNN), there emerges ...