no code implementations • 19 Feb 2024 • Daniel Kowatsch, Nicolas M. Müller, Kilian Tscharke, Philip Sperl, Konstantin Bötinger
For classification, the problem of class imbalance is well known and has been extensively studied.
2 code implementations • 15 Sep 2020 • Nicolas Michael Müller, Daniel Kowatsch, Konstantin Böttinger
Adversarial data poisoning is an effective attack against machine learning and threatens model integrity by introducing poisoned data into the training dataset.