20 citations · 36 across the 8 of their papers we have counts for
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cs.LG2023
Fairness Improvement with Multiple Protected Attributes: How Far Are We?
Zhenpeng Chen, Jie M. Zhang, Federica Sarro +1
Existing research mostly improves the fairness of Machine Learning (ML) software regarding a single protected attribute at a time, but this is unrealistic given that many users hav…
cs.LG2019
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang, Mark Harman, Lei Ma +1
This paper provides a comprehensive survey of Machine Learning Testing (ML testing) research. It covers 144 papers on testing properties (e.g., correctness, robustness, and fairnes…