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Proving Data-Poisoning Robustness in Decision Trees
Machine learning models are brittle, and small changes in the training data can result in different predictions.
Quantifying Program Bias
With the range and sensitivity of algorithmic decisions expanding at a break-neck speed, it is imperative that we aggressively investigate whether programs are biased.
Fairness as a Program Property
We explore the following question: Is a decision-making program fair, for some useful definition of fairness?
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