Article-Journal

Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification

Are Graph Neural Networks Miscalibrated?

Uncertain context: Uncertainty quantification in machine learning

Attribution-driven causal analysis for detection of adversarial examples

Attribution-based confidence metric for deep neural networks

Technical Report Coping Uncertainty in Coexistence via Exploitation of Interference Threshold Violation

Reaping the benefits of dynamic TDD in massive MIMO

Programmable control plane for mission critical wireless networks

On the integration of SIC and MIMO DoF for interference cancellation in wireless networks

Impact of full duplex scheduling on end-to-end throughput in multi-hop wireless networks