Adversarial Attack Detection (test) benchmark leaderboard · SOTA2 Research

Adversarial Attack Detection (test)

99.64FGSM AccuracyA^4D

Evaluation Results

Method	Links
A^4D2026.06		99.64	99.67	99.75	99.44	78.03	77.55	93.61	92.53
Wavelet2026.06		99.64	97.43	97.68	82.88	50.48	50.11	70.28	78.36
Wavelet2026.06		99.58	97.42	97.63	82.49	50.46	50.02	70.46	78.29
A^4D2026.06		99.24	98.16	98.39	97.76	77.31	78.62	97.84	92.47
Mahalanobis2026.06		96.46	97.28	—	97.65	74.64	75.13	91.98	88.85
Mahalanobis*2026.06		96.46	98.29	—	98.27	59.83	57.48	90.25	83.43
Wavelet2026.06		95.99	95.05	93.69	90.36	50.92	50.62	56.88	76.22
A^4D2026.06		94.7	98.01	96.79	96.27	86.27	85.64	95.57	93.32
Wavelet2026.06		94.07	87.33	87.68	69.88	50.39	50.24	70.44	72.86
A^4D2026.06		93.8	95.38	97.87	83.18	62.83	63.47	98.24	84.97
Mahalanobis2026.06		91.94	91.52	85.05	77.27	70.99	68.58	67.22	78.94
Mahalanobis*2026.06		91.94	13.14	29.33	18.59	38.57	38.24	42.61	38.92
MAD2026.06		85.8	79.08	82.36	62.94	50.02	49.98	81.45	70.23
MAD2026.06		85.55	78.85	82.2	63.34	50.17	50	82.94	70.43
MAD2026.06		77.73	69.64	72.29	57.12	50.1	50.01	76.65	64.79
MAD2026.06		73.46	71.07	85.95	83.46	50.68	50.46	63.52	68.37
Mahalanobis2026.06		67.1	99.91	99.24	99.76	55.26	55.44	62.08	76.97
Mahalanobis*2026.06		67.1	82.91	81.6	78.64	54.65	55.1	50.02	67.15
Mahalanobis2026.06		61.45	61.94	—	62.53	63.82	63.55	69.08	63.72
Mahalanobis*2026.06		61.45	60.59	—	60.51	47.06	48.27	51.92	54.96