Backdoor Mitigation in Deep Neural Networks via Strategic Retraining. (arXiv:2212.07278v1 [cs.CR])

Deep Neural Networks (DNN) are becoming increasingly more important in
assisted and automated driving. Using such entities which are obtained using
machine learning is inevitable: tasks such as recognizing traffic signs cannot
be developed reasonably using traditional software development methods. DNN
however do have the problem that they are mostly black boxes and therefore hard
to understand and debug. One particular problem is that they are prone to
hidden backdoors. This means that the DNN misclassifies its input, because it …

backdoor mitigation networks neural networks