2 papers
cs.LG2024
On the Vulnerability of Fairness Constrained Learning to Malicious Noise
Avrim Blum, Princewill Okoroafor, Aadirupa Saha +1
We consider the vulnerability of fairness-constrained learning to small amounts of malicious noise in the training data. Konstantinov and Lampert (2021) initiated the study of this…
cs.LG2024
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy?
Avrim Blum, Kevin Stangl
Multiple fairness constraints have been proposed in the literature, motivated by a range of concerns about how demographic groups might be treated unfairly by machine learning clas…