Result table

This table was generated on 2025-12-08 at 06:03. See more results here. See last results here.

results

project_name group_name hostname status time time_per_image_ms acc_nat acc_pgdlinf acc_pgdl2 agg error_msg jean-ponce Master-IASD upnquick Success 7095.61 354.78 100.0 98.02 99.3 197.32 None BestOf2023-1 profs upnquick Success 180.43 9.02 37.5 70.26 70.77 141.03 None gradient-hackers Master-IASD upnquick Success 627.17 31.36 75.0 70.34 68.55 138.89 None blast_attack Master-IASD coktailjet Success 7061.78 353.09 57.5 58.34 68.9 127.24 None attaqueoudefense Master-IASD coktailjet Success 9023.69 451.18 45.0 60.45 66.16 126.61 None noeyedeer Master-IASD coktailjet Success 3918.32 195.92 66.25 51.66 69.19 120.85 None rattataque Master-IASD upnquick Success 1193.41 59.67 66.25 49.07 71.07 120.14 None exocet Master-IASD upnquick Success 1243.5 62.17 90.0 51.33 66.32 117.66 None the-taithon-canon Master-IASD upnquick Success 1531.92 76.6 81.25 49.5 66.11 115.61 None BestOfMiles profs upnquick Success 5493.78 274.69 82.5 51.74 63.39 115.13 None BestOf2024-1 profs upnquick Success 2634.2 131.71 86.25 51.3 63.69 114.98 None BestOf2024-2 profs coktailjet Success 1159.47 57.97 75.0 52.06 59.53 111.59 None best_defense_is_attack Master-IASD upnquick Success 1313.89 65.69 81.25 50.95 59.25 110.2 None counter_attack Master-IASD coktailjet Success 3271.57 163.58 82.5 46.62 63.16 109.78 None nyc Master-IASD upnquick Success 1436.52 71.83 55.0 43.92 63.46 107.38 None attackonpixels Master-IASD upnquick Success 1702.31 85.12 81.25 44.28 52.51 96.79 None neural-nightmare Master-IASD upnquick Success 1163.5 58.18 68.75 42.54 54.08 96.62 None BestOf2023-2 profs coktailjet Success 117.08 5.85 56.25 41.06 53.46 94.52 None invisible_attack Master-IASD upnquick Success 5044.88 252.24 58.75 32.01 51.91 83.93 None the-advengers Master-IASD upnquick Success 1263.64 63.18 68.75 31.48 49.61 81.09 None jogabonito Master-IASD upnquick Success 1375.98 68.8 68.75 31.34 48.69 80.03 None attaquedestitans Master-IASD upnquick Success 153.1 7.66 37.5 18.73 38.39 57.12 None attack_mesonet Master-IASD coktailjet Success 102.44 5.12 37.5 22.37 33.29 55.66 None attackonnetworks Master-IASD coktailjet Success 105.93 5.3 43.75 18.35 32.56 50.91 None base_model profs coktailjet Success 111.36 5.57 50.0 6.04 25.18 31.22 None attackus Master-IASD coktailjet Error 0 0 0 0 0 0 FileNotFoundError: Model file not found: /home/lamsade/testplatform/test-platform-a3/repos/Master-IASD/attackus/models/robust_model.pth attack-of-babrumen Master-IASD upnquick Error 0 0 0 0 0 0 AttributeError: 'Net' object has no attribute 'load_for_testing' ciclose-10 Master-IASD coktailjet Error 0 0 0 0 0 0 FileNotFoundError: [Errno 2] No such file or directory: '/home/lamsade/testplatform/test-platform-a3/repos/Master-IASD/ciclose-10/models/default_model.pth' compo-4-3-3 Master-IASD coktailjet Error 0 0 0 0 0 0 FileNotFoundError: [Errno 2] No such file or directory: 'models/resnet_adv_finetune_8_pgd_3.pth' harissa Master-IASD upnquick Error 0 0 0 0 0 0 FileNotFoundError: The config file does not exist. Model could not be loaded properly. madraf Master-IASD upnquick Error 0 0 0 0 0 0 FileNotFoundError: [Errno 2] No such file or directory: '/home/lamsade/testplatform/test-platform-a3/repos/Master-IASD/madraf/models/default_model.pth' team_joie Master-IASD upnquick Error 0 0 0 0 0 0 RuntimeError: Error(s) in loading state_dict for Net: Missing key(s) in state_dict: "conv1.weight", "conv1.bias", "conv2.weight", "conv2.bias", "conv3.weight", "conv3.bias", "conv4.weight", "conv4.bias", "fc1.weight", "fc1.bias", "fc2.weight", "fc2.bias", "fc3.weight", "fc3.bias". Unexpected key(s) in state_dict: "model.conv1.weight", "model.bn1.weight", "model.bn1.bias", "model.bn1.running_mean", "model.bn1.running_var", "model.bn1.num_batches_tracked", "model.layer1.0.conv1.weight", "model.layer1.0.bn1.weight", "model.layer1.0.bn1.bias", "model.layer1.0.bn1.running_mean", "model.layer1.0.bn1.running_var", "model.layer1.0.bn1.num_batches_tracked", "model.layer1.0.conv2.weight", "model.layer1.0.bn2.weight", "model.layer1.0.bn2.bias", "model.layer1.0.bn2.running_mean", "model.layer1.0.bn2.running_var", "model.layer1.0.bn2.num_batches_tracked", "model.layer1.1.conv1.weight", "model.layer1.1.bn1.weight", "model.layer1.1.bn1.bias", "model.layer1.1.bn1.running_mean", "model.layer1.1.bn1.running_var", "model.layer1.1.bn1.num_batches_tracked", "model.layer1.1.conv2.weight", "model.layer1.1.bn2.weight", "model.layer1.1.bn2.bias", "model.layer1.1.bn2.running_mean", "model.layer1.1.bn2.running_var", "model.layer1.1.bn2.num_batches_tracked", "model.layer2.0.conv1.weight", "model.layer2.0.bn1.weight", "model.layer2.0.bn1.bias", "model.layer2.0.bn1.running_mean", "model.layer2.0.bn1.running_var", "model.layer2.0.bn1.num_batches_tracked", "model.layer2.0.conv2.weight", "model.layer2.0.bn2.weight", "model.layer2.0.bn2.bias", "model.layer2.0.bn2.running_mean", "model.layer2.0.bn2.running_var", "model.layer2.0.bn2.num_batches_tracked", "model.layer2.0.downsample.0.weight", "model.layer2.0.downsample.1.weight", "model.layer2.0.downsample.1.bias", "model.layer2.0.downsample.1.running_mean", "model.layer2.0.downsample.1.running_var", "model.layer2.0.downsample.1.num_batches_tracked", "model.layer2.1.conv1.weight", "model.layer2.1.bn1.weight", "model.layer2.1.bn1.bias", "model.layer2.1.bn1.running_mean", "model.layer2.1.bn1.running_var", "model.layer2.1.bn1.num_batches_tracked", "model.layer2.1.conv2.weight", "model.layer2.1.bn2.weight", "model.layer2.1.bn2.bias", "model.layer2.1.bn2.running_mean", "model.layer2.1.bn2.running_var", "model.layer2.1.bn2.num_batches_tracked", "model.layer3.0.conv1.weight", "model.layer3.0.bn1.weight", "model.layer3.0.bn1.bias", "model.layer3.0.bn1.running_mean", "model.layer3.0.bn1.running_var", "model.layer3.0.bn1.num_batches_tracked", "model.layer3.0.conv2.weight", "model.layer3.0.bn2.weight", "model.layer3.0.bn2.bias", "model.layer3.0.bn2.running_mean", "model.layer3.0.bn2.running_var", "model.layer3.0.bn2.num_batches_tracked", "model.layer3.0.downsample.0.weight", "model.layer3.0.downsample.1.weight", "model.layer3.0.downsample.1.bias", "model.layer3.0.downsample.1.running_mean", "model.layer3.0.downsample.1.running_var", "model.layer3.0.downsample.1.num_batches_tracked", "model.layer3.1.conv1.weight", "model.layer3.1.bn1.weight", "model.layer3.1.bn1.bias", "model.layer3.1.bn1.running_mean", "model.layer3.1.bn1.running_var", "model.layer3.1.bn1.num_batches_tracked", "model.layer3.1.conv2.weight", "model.layer3.1.bn2.weight", "model.layer3.1.bn2.bias", "model.layer3.1.bn2.running_mean", "model.layer3.1.bn2.running_var", "model.layer3.1.bn2.num_batches_tracked", "model.layer4.0.conv1.weight", "model.layer4.0.bn1.weight", "model.layer4.0.bn1.bias", "model.layer4.0.bn1.running_mean", "model.layer4.0.bn1.running_var", "model.layer4.0.bn1.num_batches_tracked", "model.layer4.0.conv2.weight", "model.layer4.0.bn2.weight", "model.layer4.0.bn2.bias", "model.layer4.0.bn2.running_mean", "model.layer4.0.bn2.running_var", "model.layer4.0.bn2.num_batches_tracked", "model.layer4.0.downsample.0.weight", "model.layer4.0.downsample.1.weight", "model.layer4.0.downsample.1.bias", "model.layer4.0.downsample.1.running_mean", "model.layer4.0.downsample.1.running_var", "model.layer4.0.downsample.1.num_batches_tracked", "model.layer4.1.conv1.weight", "model.layer4.1.bn1.weight", "model.layer4.1.bn1.bias", "model.layer4.1.bn1.running_mean", "model.layer4.1.bn1.running_var", "model.layer4.1.bn1.num_batches_tracked", "model.layer4.1.conv2.weight", "model.layer4.1.bn2.weight", "model.layer4.1.bn2.bias", "model.layer4.1.bn2.running_mean", "model.layer4.1.bn2.running_var", "model.layer4.1.bn2.num_batches_tracked", "model.fc.weight", "model.fc.bias". troublemakers Master-IASD coktailjet Error 0 0 0 0 0 0 FileNotFoundError: [Errno 2] No such file or directory: '/home/lamsade/testplatform/test-platform-a3/repos/Master-IASD/troublemakers/models/ensemble_adp_model_0.pth'

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