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Found 5 papers, 1 papers with code
Open Set Recognition using Vision Transformer with an Additional Detection Head
However, in a more realistic open set scenario, traditional classifiers with incomplete knowledge cannot tackle test data that are not from the training classes.
Detection of Dataset Shifts in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression
Cyber-physical systems (CPSs) use learning-enabled components (LECs) extensively to cope with various complex tasks under high-uncertainty environments.
Association: Remind Your GAN not to Forget
Neural networks are susceptible to catastrophic forgetting.
Detecting Adversarial Examples in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression
Learning-enabled components (LECs) are widely used in cyber-physical systems (CPS) since they can handle the uncertainty and variability of the environment and increase the level of autonomy.
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
The simulation results show very small number of false positives and detection delay while the execution time is comparable to the execution time of the original machine learning components.
