counterfactual
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Model Reconstruction Using Counterfactual Explanations: A Perspective From Polytope Theory
An adversary may be able to "steal" the model by querying for counterfactuals and training a
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Causal Fairness for Outcome Control
We next discuss two lines of related literature.
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Counterfactual Fairness by Combining Factual and Counterfactual Predictions
Counterfactual Fairness (CF), which posits that an ML model's outcome on any individual should remain unchanged if they had belonged to a different demographic
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DeepCounterfactualEstimationwithCategorical BackgroundVariables
Typically,givenanindividual,atreatmentassignment,andatreatmentoutcome, the counterfactual question asks what would have happened to that individual, had it been given anothertreatment,everythingelsebeingequal.
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