Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Fairness-aware machine learning: a perspective
On the relation between accuracy and fairness in binary classification
Game theoretic mechanism design applied to machine learning classification
WeBuildAI : Participatory Framework for Fair and Efficient Algorithmic Governance
Balanced Neighborhoods for Multi-sided Fairness in Recommendation
Chiron: Privacy-preserving Machine Learning as a Service
Adversarial Machine Learning at Scale
A study of the behavior of several methods for balancing machine learning training data
Secure and resilient distributed machine learning under adversarial environments
Towards the Science of Security and Privacy in Machine Learning
Explanation and Justification in Machine Learning : A Survey Or
New Fairness Metrics for Recommendation that Embrace Differences
The class imbalance problem: A systematic study
Balanced Neighborhoods for Fairness-Aware Collaborative Recommendation
Counterfactual Fairness
Cost-Sensitive Learning and the Class Imbalance Problem
Adversarial machine learning
An Introduction to Adversarial Machine Learning
Probably Approximately Metric-Fair Learning
Discrimination-aware data mining
Designing Social Choice Mechanisms Using Machine Learning
A 16.8 Gbps/Channel Single-Ended Transceiver in 65 nm CMOS for SiP-Based DRAM Interface on Si-Carrier Channel
A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement
Compensation topology for flat spiral coil inductive power transfer systems
Understanding Power and Rules of Thumb for Determining Sample Sizes
Toward Scalable Learning with Non-uniform Class and Cost Distributions: A Case Study in Credit Card Fraud Detection