Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction
Mitigating Unwanted Biases with Adversarial Learning
The Measure and Mismeasure of Fairness: A Critical Review of Fair Machine Learning
50 Years of Test (Un)fairness: Lessons for Machine Learning
On the relation between accuracy and fairness in binary classification
Evaluating Fairness Metrics in the Presence of Dataset Bias
Unrestricted Adversarial Examples
Adversarial learning
Counterfactual Fairness in Text Classification through Robustness
The Case for Process Fairness in Learning: Feature Selection for Fair Decision Making
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Predicting Adversarial Examples with High Confidence
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification
On Fairness and Calibration
Fairness Constraints: Mechanisms for Fair Classification
Adversarial learning in credit card fraud detection
A General Retraining Framework for Scalable Adversarial Classification
Fairness-aware Classifier with Prejudice Remover Regularizer
Active Fairness in Algorithmic Decision Making
Explaining and Harnessing Adversarial Examples
On conditional parity as a notion of non-discrimination in machine learning
Ideology and Discourse Analysis
Dead-block prediction & dead-block correlating prefetchers
Fairness Beyond Disparate Treatment&Disparate Impact: Learning Classification without Disparate Mistreatment
Why should my students use AR? A comparative review of the educational impacts of augmented-reality
Comparative analysis of SVPWM and SPWM techniques for multilevel inverter