Machine Unlearning on CIFAR-100 (test) using OOD MIA Metrics benchmark leaderboard · SOTA2 Research

Machine Unlearning on CIFAR-100 (test) using OOD MIA Metrics

53.2Efficacy AUCRetrain

Evaluation Results

Method	Links
Retrain2026.02		53.2	96.8	48.1	92.1	32.1	64.2	88.1	60.3	84.2	64.2	92	88.1	41.5	73.8	67.6
Retrain2026.02		55	94.9	40.1	89.9	36.1	60.2	92.2	57.4	87.3	61.6	95	87.1	43.9	71.2	70.9
Retrain2026.02		56.1	93.5	37.6	88.7	38.8	57.9	93.3	55.1	89.3	59.2	96.1	86.8	45.2	69.5	72.5
Retrain2026.02		57.2	91.8	30.8	86.3	40.4	56.3	94.1	53.7	90.5	57.8	97.1	84.2	47.8	67.7	74
GradAsc2026.02		75.2	79.2	73.1	96.1	18.5	78.5	76.2	90.2	51.5	84.2	67.5	87.8	54.6	87.4	53.9
GradAsc2026.02		75.4	71.5	72.8	98.1	7.9	78.5	72.5	93.5	31.8	80.4	74.1	89	44.8	88	46.5
GradAsc2026.02		77.2	76.5	71.5	98.5	5.1	78.4	72.6	94.8	24.5	82.5	71.5	87.6	49.2	88.5	44.8
GradAsc2026.02		79.5	67.1	73.8	95.2	23	78.5	75	84.1	64.9	88.2	53.6	85.2	65.6	86.2	56.8
Original2026.02		84.9	85	73.9	99.3	2.6	80.9	68.7	95	21.9	81.4	72.9	90.1	39	89.3	41
Original2026.02		87.1	82.3	74.5	99.3	2.6	80.9	68.7	95	21.9	81.4	72.9	90.1	39	89.3	41
Original2026.02		87.1	83.5	74.5	99.4	2.6	80.9	68.7	95	21.9	81.4	72.9	90.1	39	89.4	41
Original2026.02		87.5	84.1	75.6	99.3	2.6	80.9	68.7	95	21.9	81.4	72.9	90.1	39	89.3	41
RL-FT2026.02		89.5	46.8	73.2	97.4	4.6	78.5	71.8	93.8	28.1	83.5	68.2	89.9	41	88.6	42.7
RL-FT2026.02		90.2	47.5	75.6	98.1	4.8	79.8	71.8	94.6	25.8	84.5	66.5	89.6	45.5	89.3	42.9
RL-FT2026.02		90.8	47.8	75.4	98.6	4.8	79.1	71.9	94.5	25.8	84.5	66.6	89.6	45.6	89.3	42.9
RL-FT2026.02		90.8	45.8	75.8	98.8	4.3	80.5	68.9	94.4	25.7	88.8	49.2	89.2	47.5	90.3	39.1
TFER2026.02		91	42.1	75.3	99.3	2.6	80.2	68.5	95.1	22	85.1	66	91.2	39.6	89.9	41.2
TFER2026.02		91.9	41.5	76.5	99.4	2.3	81.6	67.5	96	18.9	88.5	48.5	89.9	44.5	91.1	36.3
TFER2026.02		92.1	38.5	75.4	99.4	2.3	79.5	67.5	96.5	18	81.5	75	90.9	39.5	89.6	40.5
TFER2026.02		92.8	39.2	74.9	98.9	3.1	80.3	68.5	95.5	21.8	84	67.5	91.3	38.8	90	40