Sample-level Membership Inference on LIBERO Spatial benchmark leaderboard · SOTA2 Research

Sample-level Membership Inference on LIBERO Spatial

1AUCNLL

Evaluation Results

Method	Links
NLL2026.05		1	99.41	100	100
Agg.-NLL2026.05		1	100	100	100
Agg.-NLL2026.05		1	100	100	100
Agg.-Conf2026.05		1	100	100	100
Action-L12026.05		1	100	100	100
Action-MSE2026.05		0.9998	98	100	100
Temp.-Curve2026.05		0.9992	98	98	100
Temp.-Smooth2026.05		0.9988	97	97	99
VLALeaks-MLP2026.06		0.998	—	95.97	—
VLALeaks-RF2026.06		0.9857	—	77.42	—
Action-L12026.05		0.9804	98	98	98
Action-L12026.05		0.9801	44.94	80.2	94.47
Action-MSE2026.05		0.9686	45.3	80.61	94.33
Action-MSE2026.05		0.9616	96	96	96
Action-L12026.05		0.9453	6.31	37.41	74.68
Action-L12026.05		0.9233	60.02	69.06	79.22
Action-MSE2026.05		0.9222	60.63	70.2	79.89
Action-MSE2026.05		0.9115	8.82	42.67	72.26
SMI2026.06		0.9085	—	47.07	—
Flow-Loss2026.05		0.9041	6	30.04	56.64
Agg.-Conf2026.05		0.9016	70	73	76
Conf2026.05		0.8377	4.26	16.82	38.18
NLL2026.05		0.8166	4.52	16.11	36.2
Conf2026.05		0.7111	5.09	13.35	28.72
Temp.-Curve2026.05		0.6891	3	7	22
RIM2026.06		0.6331	—	2.4	—
RINM2026.06		0.5737	—	1.6	—
Agg.-Conf-Fix2026.05		0.5673	10	11	19
Temp.-Smooth2026.05		0.5504	0	4	10
MaxR-img2026.06		0.53	—	1.7	—
MaxR-inst2026.06		0.5225	—	1.76	—
Flow-Loss-FixPrompt2026.05		0.5212	0.06	0.77	5.09
Conf-FixPrompt2026.05		0.5151	0.47	1.69	6.8
Loss2026.06		0.5042	—	1.32	—
Min-k++2026.06		0.5028	—	1.28	—
Conf-FixPrompt2026.05		0.4996	0.07	0.95	4.85
Agg.-Conf-Fix2026.05		0.4824	1	1	8
Min-k2026.06		0.4769	—	0.7	—
MaxR-desp2026.06		0.4723	—	0.56	—