Counterfactually fair image classifiers need not satisfy group fairness when a latent attribute G correlates with the sensitive attribute; reducing reliance on G (via CKD) restores both.
(a) Did you state the full set of assumptions of all theoretical results? [Yes] See Section 4 (b) Did you include complete proofs of all theoretical results? [Yes] See Section A
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Do Counterfactually Fair Image Classifiers Satisfy Group Fairness? -- A Theoretical and Empirical Study
Counterfactually fair image classifiers need not satisfy group fairness when a latent attribute G correlates with the sensitive attribute; reducing reliance on G (via CKD) restores both.