Resilience of Supervised Learning Algorithms to Discriminatory Poisoning of Training Data
Published in 7th International Conference on Computational Social Science (IC2S2), 2021
Recommended citation: Przemyslaw A. Grabowicz and Nicholas Perello. Resilience of Supervised Learning Algorithms to Discriminatory Poisoning of Training Data. In 7th International Conference on Computational Social Science (IC2S2), 2021.
Presented at the 7th International Conference on Computational Social Science (IC2S2 2021). The talk examined how supervised learning algorithms respond when their training data has been poisoned with discrimination against protected groups. Related work on this question appeared at AIES 2023 as Learning from Discriminatory Training Data.