2020
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
ICML 2020poster
Trustworthy AI is a critical issue in machine learning where, in addition to training a model that is accurate, one must consider both fair and robust training in the presence of data bias and poisoning. However, the existing model fairness techniques mistakenly view poisoned data as an additional b…