Image Classification on STL-10 (test) (Adversarial Robustness) benchmark leaderboard · SOTA2 Research

Image Classification on STL-10 (test) (Adversarial Robustness)

52.14Accuracy (Benign)Lorica

Evaluation Results

Method	Links
Lorica2025.06		52.14	47.22	45.1	47.22	46.39
Sylva2025.06		50.51	45.01	43.52	46.47	45.42
FP-Gen-AF2025.06		47.2	41.03	40.49	42.12	43.02
Per-LoRA2025.06		46.95	41.78	41.2	42.05	42.11
DBFAT2025.06		46.79	42.17	39.91	41.14	42.78
FA-Gen-AF2025.06		46	40.48	39.12	41.98	41.85
FP-TRADES2025.06		45.02	40.72	39.12	40.93	40.99
FA-TRADES2025.06		43.7	39.15	38.11	41.8	40.93
Per-Adv2025.06		37.95	41.23	39.48	41.52	41.12
FP-PGD-AT2025.06		37.78	41.77	39.14	42.51	41.69
FA-PGD-AT2025.06		35.89	41.05	39.88	41.95	41.05