Result table

This table was generated on 2024-11-28 at 09:43. 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 60.34 3.02 75.0 70.32 70.76 141.08 None naive_implem profs boldeagle Success 16709.67 835.48 83.75 51.35 63.24 114.59 None art_attack Master-IASD ourasi Success 229.38 11.47 65.0 49.56 57.26 106.82 None advernope Master-IASD upnquick Success 269.02 13.45 50.0 42.86 53.73 96.59 None BestOf2023-2 profs coktailjet Success 66.71 3.34 68.75 40.81 53.5 94.31 None mars-attack Master-IASD readycash Success 149.45 7.47 31.25 28.92 37.75 66.67 None alhambra Master-IASD kaisertrot Success 110.34 5.52 31.25 27.25 32.78 60.03 None defense-against-the-dark-attacks Master-IASD upnquick Success 115.64 5.78 25.0 11.85 27.55 39.4 None advengers Master-IASD boldeagle Success 134.64 6.73 68.75 6.08 25.12 31.2 None attack_of_mnist Master-IASD readycash Success 149.8 7.49 37.5 6.05 25.13 31.18 None fourchette Master-IASD kaisertrot Success 110.1 5.5 56.25 6.03 25.14 31.17 None base_repos profs kaisertrot Success 103.27 5.16 50.0 6.07 25.09 31.16 None shaq-attack Master-IASD coktailjet Success 90.35 4.52 56.25 6.03 25.12 31.15 None heart-attack Master-IASD coktailjet Success 90.71 4.54 56.25 6.0 25.14 31.14 None houdini Master-IASD readycash Success 150.37 7.52 50.0 5.99 25.13 31.12 None microsoft-defender Master-IASD upnquick Success 112.82 5.64 37.5 5.98 25.12 31.1 None lzattack Master-IASD coktailjet Success 89.97 4.5 56.25 5.96 25.1 31.06 None binaryattackers Master-IASD boldeagle Success 135.39 6.77 43.75 4.51 21.21 25.72 None star_wars_2 Master-IASD readycash Success 147.61 7.38 18.75 9.61 10.28 19.89 None it-s-over-9000 Master-IASD boldeagle Success 133.69 6.68 81.25 0.02 2.59 2.61 None jose-mourinho Master-IASD upnquick Error 0 0 0 0 0 0 ModuleNotFoundError: No module named 'matplotlib' attack_of_cifar Master-IASD coktailjet Error 0 0 0 0 0 0 RuntimeError: Error(s) in loading state_dict for Net: Missing key(s) in state_dict: "conv3.weight", "conv3.bias", "bn1.weight", "bn1.bias", "bn1.running_mean", "bn1.running_var", "bn2.weight", "bn2.bias", "bn2.running_mean", "bn2.running_var", "bn3.weight", "bn3.bias", "bn3.running_mean", "bn3.running_var". size mismatch for conv1.weight: copying a param with shape torch.Size([6, 3, 5, 5]) from checkpoint, the shape in current model is torch.Size([32, 3, 5, 5]). size mismatch for conv1.bias: copying a param with shape torch.Size([6]) from checkpoint, the shape in current model is torch.Size([32]). size mismatch for conv2.weight: copying a param with shape torch.Size([16, 6, 5, 5]) from checkpoint, the shape in current model is torch.Size([64, 32, 5, 5]). size mismatch for conv2.bias: copying a param with shape torch.Size([16]) from checkpoint, the shape in current model is torch.Size([64]). size mismatch for fc1.weight: copying a param with shape torch.Size([120, 400]) from checkpoint, the shape in current model is torch.Size([120, 4096]).

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