1 code implementation • 8 Feb 2023 • Nicolas M. Müller, Simon Roschmann, Shahbaz Khan, Philip Sperl, Konstantin Böttinger
For real-world applications of machine learning (ML), it is essential that models make predictions based on well-generalizing features rather than spurious correlations in the data.
no code implementations • 14 Apr 2021 • Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger
Since many applications rely on untrusted training data, an attacker can easily craft malicious samples and inject them into the training dataset to degrade the performance of machine learning models.