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Lane Detection on TuSimple (test) (Robustness Evaluation)

96.87Accuracy (Benign)BadNets
93.656494.490795.32596.1593Aug 4, 2025

Evaluation results

MethodLinks
BadNetsModel=ADNet2025.0896.8795.4650.34—52.9851.66
BlendedModel=ADNet2025.0896.8795.156.27—59.1257.7
LD-AttackModel=ADNet2025.0896.8796.3553.24—66.3259.78
BadLANEModel=ADNet2025.0896.8796.2959.17—67.4863.33
DBALDModel=ADNet2025.0896.8796.6189.24—72.0780.66
BadNetsModel=LaneATT2025.0896.8195.5345.62—75.6360.63
BlendedModel=LaneATT2025.0896.8196.2746.31—72.4759.39
LD-AttackModel=LaneATT2025.0896.8196.2188.17—90.2789.22
BadLANEModel=LaneATT2025.0896.8196.1889.25—89.7689.51
DBALDModel=LaneATT2025.0896.8195.7290.04—91.6390.84
BadNetsModel=RESA2025.0896.8196.6364.78—73.4669.12
BlendedModel=RESA2025.0896.8196.6568.11—57.2862.7
LD-AttackModel=RESA2025.0896.8196.6792.53—92.0492.29
BadLANEModel=RESA2025.0896.8196.4292.47—91.1991.83
DBALDModel=RESA2025.0896.8196.6796.57—94.2895.43
BadNetsModel=SCNN2025.0893.7891.5664.72—62.7963.76
BlendedModel=SCNN2025.0893.7891.3758.3—64.1361.22
LD-AttackModel=SCNN2025.0893.7892.2394.08—91.4392.76
BadLaneModel=SCNN2025.0893.7890.8992.19—88.5790.38
DBALDModel=SCNN2025.0893.7892.2895.78—91.2993.54