Result table

This table was generated on 2024-12-05 at 08:25. 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 BestOf2023-1 profs upnquick Success 63.38 3.17 87.5 70.26 70.75 141.01 None naive_implem profs readycash Success 11573.02 578.65 87.5 51.61 63.37 114.98 None BestOf2023-2 profs kaisertrot Success 97.6 4.88 50.0 40.91 53.49 94.4 None advernope Master-IASD readycash Success 571.08 28.55 68.75 38.63 47.39 86.02 None mars-attack Master-IASD boldeagle Success 126.06 6.3 31.25 28.93 37.71 66.64 None lzattack Master-IASD upnquick Success 158.01 7.9 43.75 28.71 34.59 63.3 None fourchette Master-IASD kaisertrot Success 110.4 5.52 43.75 24.82 28.27 53.09 None attack_of_cifar Master-IASD upnquick Success 203.58 10.18 62.5 11.17 39.48 50.65 None advengers Master-IASD coktailjet Success 118.08 5.9 56.25 17.26 26.4 43.66 None shaq-attack Master-IASD readycash Success 166.95 8.35 43.75 10.86 29.84 40.7 None jose-mourinho Master-IASD readycash Success 166.2 8.31 62.5 8.33 26.79 35.12 None houdini Master-IASD boldeagle Success 125.78 6.29 62.5 6.06 25.15 31.21 None base_repos profs ourasi Success 150.01 7.5 50.0 6.03 25.11 31.14 None microsoft-defender Master-IASD coktailjet Success 118.05 5.9 56.25 6.01 25.12 31.13 None attack_of_mnist Master-IASD boldeagle Success 127.2 6.36 56.25 5.99 25.12 31.11 None binaryattackers Master-IASD coktailjet Success 118.58 5.93 50.0 4.46 21.19 25.65 None alhambra Master-IASD ourasi Success 156.89 7.84 18.75 10.34 12.16 22.5 None heart-attack Master-IASD upnquick Success 124.83 6.24 18.75 10.0 10.0 20.0 None it-s-over-9000 Master-IASD coktailjet Success 118.31 5.92 56.25 0.01 2.61 2.62 None art_attack Master-IASD kaisertrot Error 0 0 0 0 0 0 ModuleNotFoundError: No module named 'matplotlib' star_wars_2 Master-IASD upnquick Error 0 0 0 0 0 0 RuntimeError: The size of tensor a (10) must match the size of tensor b (256) at non-singleton dimension 2 defense-against-the-dark-attacks Master-IASD readycash Error 0 0 0 0 0 0 RuntimeError: Error(s) in loading state_dict for Net: Unexpected key(s) in state_dict: "input_conv.weight", "input_conv.bias", "residual_blocks.0.conv1.weight", "residual_blocks.0.conv1.bias", "residual_blocks.0.bn1.weight", "residual_blocks.0.bn1.bias", "residual_blocks.0.bn1.running_mean", "residual_blocks.0.bn1.running_var", "residual_blocks.0.bn1.num_batches_tracked", "residual_blocks.0.conv2.weight", "residual_blocks.0.conv2.bias", "residual_blocks.0.bn2.weight", "residual_blocks.0.bn2.bias", "residual_blocks.0.bn2.running_mean", "residual_blocks.0.bn2.running_var", "residual_blocks.0.bn2.num_batches_tracked", "residual_blocks.1.conv1.weight", "residual_blocks.1.conv1.bias", "residual_blocks.1.bn1.weight", "residual_blocks.1.bn1.bias", "residual_blocks.1.bn1.running_mean", "residual_blocks.1.bn1.running_var", "residual_blocks.1.bn1.num_batches_tracked", "residual_blocks.1.conv2.weight", "residual_blocks.1.conv2.bias", "residual_blocks.1.bn2.weight", "residual_blocks.1.bn2.bias", "residual_blocks.1.bn2.running_mean", "residual_blocks.1.bn2.running_var", "residual_blocks.1.bn2.num_batches_tracked", "residual_blocks.2.conv1.weight", "residual_blocks.2.conv1.bias", "residual_blocks.2.bn1.weight", "residual_blocks.2.bn1.bias", "residual_blocks.2.bn1.running_mean", "residual_blocks.2.bn1.running_var", "residual_blocks.2.bn1.num_batches_tracked", "residual_blocks.2.conv2.weight", "residual_blocks.2.conv2.bias", "residual_blocks.2.bn2.weight", "residual_blocks.2.bn2.bias", "residual_blocks.2.bn2.running_mean", "residual_blocks.2.bn2.running_var", "residual_blocks.2.bn2.num_batches_tracked", "residual_blocks.3.conv1.weight", "residual_blocks.3.conv1.bias", "residual_blocks.3.bn1.weight", "residual_blocks.3.bn1.bias", "residual_blocks.3.bn1.running_mean", "residual_blocks.3.bn1.running_var", "residual_blocks.3.bn1.num_batches_tracked", "residual_blocks.3.conv2.weight", "residual_blocks.3.conv2.bias", "residual_blocks.3.bn2.weight", "residual_blocks.3.bn2.bias", "residual_blocks.3.bn2.running_mean", "residual_blocks.3.bn2.running_var", "residual_blocks.3.bn2.num_batches_tracked", "residual_blocks.4.conv1.weight", "residual_blocks.4.conv1.bias", "residual_blocks.4.bn1.weight", "residual_blocks.4.bn1.bias", "residual_blocks.4.bn1.running_mean", "residual_blocks.4.bn1.running_var", "residual_blocks.4.bn1.num_batches_tracked", "residual_blocks.4.conv2.weight", "residual_blocks.4.conv2.bias", "residual_blocks.4.bn2.weight", "residual_blocks.4.bn2.bias", "residual_blocks.4.bn2.running_mean", "residual_blocks.4.bn2.running_var", "residual_blocks.4.bn2.num_batches_tracked", "residual_blocks.5.conv1.weight", "residual_blocks.5.conv1.bias", "residual_blocks.5.bn1.weight", "residual_blocks.5.bn1.bias", "residual_blocks.5.bn1.running_mean", "residual_blocks.5.bn1.running_var", "residual_blocks.5.bn1.num_batches_tracked", "residual_blocks.5.conv2.weight", "residual_blocks.5.conv2.bias", "residual_blocks.5.bn2.weight", "residual_blocks.5.bn2.bias", "residual_blocks.5.bn2.running_mean", "residual_blocks.5.bn2.running_var", "residual_blocks.5.bn2.num_batches_tracked", "residual_blocks.6.conv1.weight", "residual_blocks.6.conv1.bias", "residual_blocks.6.bn1.weight", "residual_blocks.6.bn1.bias", "residual_blocks.6.bn1.running_mean", "residual_blocks.6.bn1.running_var", "residual_blocks.6.bn1.num_batches_tracked", "residual_blocks.6.conv2.weight", "residual_blocks.6.conv2.bias", "residual_blocks.6.bn2.weight", "residual_blocks.6.bn2.bias", "residual_blocks.6.bn2.running_mean", "residual_blocks.6.bn2.running_var", "residual_blocks.6.bn2.num_batches_tracked", "residual_blocks.7.conv1.weight", "residual_blocks.7.conv1.bias", "residual_blocks.7.bn1.weight", "residual_blocks.7.bn1.bias", "residual_blocks.7.bn1.running_mean", "residual_blocks.7.bn1.running_var", "residual_blocks.7.bn1.num_batches_tracked", "residual_blocks.7.conv2.weight", "residual_blocks.7.conv2.bias", "residual_blocks.7.bn2.weight", "residual_blocks.7.bn2.bias", "residual_blocks.7.bn2.running_mean", "residual_blocks.7.bn2.running_var", "residual_blocks.7.bn2.num_batches_tracked", "residual_blocks.8.conv1.weight", "residual_blocks.8.conv1.bias", "residual_blocks.8.bn1.weight", "residual_blocks.8.bn1.bias", "residual_blocks.8.bn1.running_mean", "residual_blocks.8.bn1.running_var", "residual_blocks.8.bn1.num_batches_tracked", "residual_blocks.8.conv2.weight", "residual_blocks.8.conv2.bias", "residual_blocks.8.bn2.weight", "residual_blocks.8.bn2.bias", "residual_blocks.8.bn2.running_mean", "residual_blocks.8.bn2.running_var", "residual_blocks.8.bn2.num_batches_tracked", "residual_blocks.9.conv1.weight", "residual_blocks.9.conv1.bias", "residual_blocks.9.bn1.weight", "residual_blocks.9.bn1.bias", "residual_blocks.9.bn1.running_mean", "residual_blocks.9.bn1.running_var", "residual_blocks.9.bn1.num_batches_tracked", "residual_blocks.9.conv2.weight", "residual_blocks.9.conv2.bias", "residual_blocks.9.bn2.weight", "residual_blocks.9.bn2.bias", "residual_blocks.9.bn2.running_mean", "residual_blocks.9.bn2.running_var", "residual_blocks.9.bn2.num_batches_tracked", "residual_blocks.10.conv1.weight", "residual_blocks.10.conv1.bias", "residual_blocks.10.bn1.weight", "residual_blocks.10.bn1.bias", "residual_blocks.10.bn1.running_mean", "residual_blocks.10.bn1.running_var", "residual_blocks.10.bn1.num_batches_tracked", "residual_blocks.10.conv2.weight", "residual_blocks.10.conv2.bias", "residual_blocks.10.bn2.weight", "residual_blocks.10.bn2.bias", "residual_blocks.10.bn2.running_mean", "residual_blocks.10.bn2.running_var", "residual_blocks.10.bn2.num_batches_tracked", "residual_blocks.11.conv1.weight", "residual_blocks.11.conv1.bias", "residual_blocks.11.bn1.weight", "residual_blocks.11.bn1.bias", "residual_blocks.11.bn1.running_mean", "residual_blocks.11.bn1.running_var", "residual_blocks.11.bn1.num_batches_tracked", "residual_blocks.11.conv2.weight", "residual_blocks.11.conv2.bias", "residual_blocks.11.bn2.weight", "residual_blocks.11.bn2.bias", "residual_blocks.11.bn2.running_mean", "residual_blocks.11.bn2.running_var", "residual_blocks.11.bn2.num_batches_tracked", "residual_blocks.12.conv1.weight", "residual_blocks.12.conv1.bias", "residual_blocks.12.bn1.weight", "residual_blocks.12.bn1.bias", "residual_blocks.12.bn1.running_mean", "residual_blocks.12.bn1.running_var", "residual_blocks.12.bn1.num_batches_tracked", "residual_blocks.12.conv2.weight", "residual_blocks.12.conv2.bias", "residual_blocks.12.bn2.weight", "residual_blocks.12.bn2.bias", "residual_blocks.12.bn2.running_mean", "residual_blocks.12.bn2.running_var", "residual_blocks.12.bn2.num_batches_tracked", "residual_blocks.13.conv1.weight", "residual_blocks.13.conv1.bias", "residual_blocks.13.bn1.weight", "residual_blocks.13.bn1.bias", "residual_blocks.13.bn1.running_mean", "residual_blocks.13.bn1.running_var", "residual_blocks.13.bn1.num_batches_tracked", "residual_blocks.13.conv2.weight", "residual_blocks.13.conv2.bias", "residual_blocks.13.bn2.weight", "residual_blocks.13.bn2.bias", "residual_blocks.13.bn2.running_mean", "residual_blocks.13.bn2.running_var", "residual_blocks.13.bn2.num_batches_tracked", "residual_blocks.14.conv1.weight", "residual_blocks.14.conv1.bias", "residual_blocks.14.bn1.weight", "residual_blocks.14.bn1.bias", "residual_blocks.14.bn1.running_mean", "residual_blocks.14.bn1.running_var", "residual_blocks.14.bn1.num_batches_tracked", "residual_blocks.14.conv2.weight", "residual_blocks.14.conv2.bias", "residual_blocks.14.bn2.weight", "residual_blocks.14.bn2.bias", "residual_blocks.14.bn2.running_mean", "residual_blocks.14.bn2.running_var", "residual_blocks.14.bn2.num_batches_tracked", "residual_blocks.15.conv1.weight", "residual_blocks.15.conv1.bias", "residual_blocks.15.bn1.weight", "residual_blocks.15.bn1.bias", "residual_blocks.15.bn1.running_mean", "residual_blocks.15.bn1.running_var", "residual_blocks.15.bn1.num_batches_tracked", "residual_blocks.15.conv2.weight", "residual_blocks.15.conv2.bias", "residual_blocks.15.bn2.weight", "residual_blocks.15.bn2.bias", "residual_blocks.15.bn2.running_mean", "residual_blocks.15.bn2.running_var", "residual_blocks.15.bn2.num_batches_tracked", "output_conv.weight", "output_conv.bias".

Plots