2 papers
stat.ML2026
Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
Eirik Høyheim, Lars Skaaret-Lund, Solve Sæbø +1
Modeling natural phenomena with artificial neural networks (ANNs) often provides highly accurate predictions. However, ANNs often suffer from over-parameterization, complicating in…
cs.CR2026
Detecting and Eliminating Neural Network Backdoors Through Active Paths with Application to Intrusion Detection
Eirik Høyheim, Magnus Wiik Eckhoff, Gudmund Grov +2
Machine learning backdoors have the property that the machine learning model should work as expected on normal inputs, but when the input contains a specific , it…