New capabilities in wireless network security have been enabled by deep
...
As the journey of 5G standardization is coming to an end, academia and
i...
Deep learning based device fingerprinting has emerged as a key method of...
Recent deep neural network-based device classification studies show that...
Identifying covariate shift is crucial for making machine learning syste...
Counterfactual explanations, which deal with "why not?" scenarios, can
p...
Although deep reinforcement learning agents have produced impressive res...
Anomaly detectors are often used to produce a ranked list of statistical...
This article provides a thorough meta-analysis of the anomaly detection
...
In many applications, an anomaly detection system presents the most anom...
Early, reliable detection of disease outbreaks is a critical problem tod...