Table 15.

Attribute disclosure performance metric when the attacker wants for uncover 5 unknown attributes. BREAST large-set

	# of synthetic samples
	5k		10k		20k		∼170k (all)
	k=1	k=10	k=1	k=10	k=1	k=10	k=1	k=10
IM	0.931	0.876	0.946	0.886	0.955	0.887	0.971	0.883
BN	0.947	0.932	0.954	0.942	0.967	0.945	0.982	0.946
MPoM	0.952	0.945	0.964	0.950	0.967	0.949	0.981	0.951
CLGP	0.958	0.950	0.968	0.949	0.974	0.950	0.987	0.953
MC-MedGAN	0.024	0.024	0.024	0.024	0.024	0.024	0.024	0.024
MICE-LR	0.948	0.936	0.960	0.944	0.966	0.948	0.986	0.959
MICE-LR-DESC	0.954	0.946	0.963	0.946	0.967	0.950	0.984	0.955
MICE-DT	0.959	0.952	0.973	0.954	0.983	0.957	0.998	0.972