Adversarial Robustness and Fairness on CIFAR-100 benchmark leaderboard · SOTA2 Research

Adversarial Robustness and Fairness on CIFAR-100

75.17Clean Accuracy AvgNatural

Evaluation Results

Method	Links
Natural2023.12		75.17	53.8	0.155	7.95	0	1.106	0	0	0	0	0	0	0	0	0
BAT2023.12		62.71	34.4	0.267	33.41	7.96	0.577	27.91	3.1	0.716	23.91	3	0.716	22.56	2.5	0.755
CFA2023.12		59.29	33.8	0.245	33.88	10.3	0.531	31.15	8.4	0.563	26.85	5.2	0.655	25.83	4.9	0.679
AdaAD2023.12		58.17	29.2	0.301	34.29	8.5	0.566	30.49	6.6	0.623	28.31	5	0.683	26.6	4.2	0.721
RSLAD2023.12		57.88	29.4	0.302	34.5	9.2	0.55	31.19	7.4	0.598	28.13	4.7	0.669	26.46	3.7	0.703
Fair-ARD2023.12		57.19	29.4	0.303	33.57	8.4	0.558	30.57	7	0.598	27.96	4.5	0.666	26.15	3.9	0.713
SAT2023.12		57.18	29.3	0.292	28.95	5.6	0.607	24.56	3.2	0.682	23.78	3.1	0.697	21.78	2.3	0.747
ABSLD2023.12		56.76	31.9	0.258	34.93	12.4	0.47	32.44	10.5	0.5	26.99	6.4	0.578	25.39	5.6	0.601
FRL2023.12		55.49	30.3	0.282	24.04	5	0.642	22.93	3.7	0.673	21.1	2.8	0.721	—	—	—
TRADES2023.12		55.33	28.4	0.303	30.5	7.3	0.559	27.71	5.6	0.655	24.33	3.5	0.736	23.55	3.2	0.756