DPA: A one-stop metric to measure bias amplification in classification datasets
attacker functionbalanced datasetsbias amplificationclassification problemsco-occurrence-based metricsdataset biasdirectional predictability amplificationfine-grained bias analysisleakage amplificationnegative bias amplificationpositive bias amplificationpredictability-based metricprotected attributerelative changes in predictabilityunbalanced datasets
Most ML datasets today contain biases. When we train models on these datasets, they often not only learn these biases but can worsen them