DeepFool-script.ipynb

{"cells":[{"cell_type":"code","execution_count":null,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"elapsed":17868,"status":"ok","timestamp":1713666495164,"user":{"displayName":"Matina Mahdizadeh Sani","userId":"11802686618008573471"},"user_tz":240},"id":"_lt6QVPzzNSO","outputId":"4cfaaf2f-6844-4a72-d6d1-c0178678a49e"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"FL8xJdGT0SrN"},"outputs":[],"source":["import sys\n","sys.path.append('/content/drive/MyDrive/stat940project')"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"8oTVbMZ20yeb"},"outputs":[],"source":["%load_ext autoreload\n","%autoreload 2"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"J__g1f5O00ai"},"outputs":[],"source":["\n","%reload_ext autoreload"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"yPWJVTi_zXoC"},"outputs":[],"source":["import torch\n","import torch.nn as nn\n","import torch.nn.functional as F\n","from torchvision import transforms\n","from torch.utils.data import DataLoader, Dataset\n","import os\n","import numpy as np\n","import random\n","import math\n","import torch.optim as optim\n","from tqdm.auto import tqdm, trange"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"t3Wl4NvE03XU"},"outputs":[],"source":["from dataset import load_data, save_data, load_targets, AdversarialDataset\n","from utils.augmentations import *\n","from utils.utils import run, set_seed, pcshow\n","from models import Pointnet, DGCNN\n","from attacks import DeepFool"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"VshOd57t1alr"},"outputs":[],"source":["set_seed(1)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Dmam3Wu2lybS"},"outputs":[],"source":["parent_dir = '/content/drive/MyDrive/stat940project'\n","data_path = os.path.join(parent_dir, 'data/ModelNet40')"]},{"cell_type":"code","execution_count":null,"metadata":{"executionInfo":{"elapsed":4427,"status":"ok","timestamp":1713666515633,"user":{"displayName":"Matina Mahdizadeh Sani","userId":"11802686618008573471"},"user_tz":240},"id":"hmh4IdAtnq_J","colab":{"base_uri":"https://localhost:8080/"},"outputId":"3f216359-da2e-4a3d-d8a7-0ee636bf7752"},"outputs":[{"output_type":"stream","name":"stdout","text":["running on GPU\n"]}],"source":["if torch.cuda.is_available():\n","    device = torch.device('cuda:0')\n","    print('running on GPU')\n","\n","else:\n","    device = torch.device('cpu')\n","    print('running on CPU')\n","\n","test_X, test_y = load_data(data_path, mode='test')\n","test_targets = load_targets(data_path)\n","\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"o6daeqjrnxBk"},"outputs":[],"source":["default_transforms = transforms.Compose(\n","    [\n","        ToTensor()\n","    ]\n",")"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"FHVayGE9oKHP"},"outputs":[],"source":["testset = AdversarialDataset(test_X, test_y, test_targets, transforms=default_transforms)\n","testloader = DataLoader(testset, batch_size=64, shuffle=False)"]},{"cell_type":"code","source":["def run(targeted, file_name, output_path, model_name, signed = False):\n","      if model_name == \"pointnet\":\n","          model = Pointnet(device=device).to(device)\n","      else:\n","          model = DGCNN().to(device)\n","\n","      checkpoint_path = os.path.join(parent_dir, f'checkpoints/{model_name}/best.pt')\n","      model.load_state_dict(torch.load(checkpoint_path, map_location=device)[\"model_state_dict\"])\n","      model.eval()\n","\n","      all_adv_pc = []\n","      all_gt_labels = []\n","      all_target_labels = []\n","      all_success = 0\n","\n","      attacker = DeepFool(model, max_iter=20, overshoot=0.02)\n","\n","      for pc, labels, targets in tqdm(testloader):\n","          with torch.no_grad():\n","              pc = pc.to(device)\n","              labels = labels.to(device)\n","\n","\n","          adv_pc, success_num = attacker.attack(pc, labels, device)\n","\n","          all_adv_pc += [adv_pc]\n","          all_gt_labels += [labels.detach().cpu().numpy()]\n","          all_target_labels += [targets.detach().cpu().numpy()]\n","          all_success += success_num\n","          print(f'{success_num}/{adv_pc.shape[0]} succesful attacks')\n","\n","      print(f\"Success Rate: {all_success / len(test_X)}\")\n","\n","\n","      all_adv_pc = np.concatenate(all_adv_pc, axis=0)\n","      all_gt_labels = np.concatenate(all_gt_labels, axis=0)\n","      all_target_labels = np.concatenate(all_target_labels, axis=0)\n","\n","\n","\n","      save_data(all_adv_pc, file_name, output_path)\n","      save_data(all_gt_labels, 'test_labels', output_path)\n","      save_data(all_adv_pc, 'target_labels', output_path)\n","      return all_adv_pc"],"metadata":{"id":"t6bM89766mnM"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["path = os.path.join(parent_dir, 'data/DeepFool/Pointnet')\n","if not os.path.exists(path):\n","    os.makedirs(path)\n","all_adv_pc = run(False, 'adv_test_untarget', path, 'pointnet', signed = False)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":763,"referenced_widgets":["367340818ffb434fac8e5bbbd67f6c2f","03f966f9b6c24d58b806f553f40f81f4","4fcde4c3799e45449ef0bab8ab422ac6","05ce8ff36cc848dbb85d9f462c91113f","515f4fc307d9426c83dde4ce9467d34f","3f0888048cee42b6ac5a943951dc3828","9f11afebfcfc4cce91bdaa3fab09949c","dd83e1af67da493c8245e6d9cdfeb687","ca218981ee3b4b4d9ff2df466fbb5e86","e87fc32715434a9da8c74c080fb25637","b5d41f304c764876971cc3ef94cecf54"]},"id":"fteKUcV6wVCs","executionInfo":{"status":"ok","timestamp":1713659584921,"user_tz":240,"elapsed":623161,"user":{"displayName":"Matina Mahdizadeh Sani","userId":"11802686618008573471"}},"outputId":"059c1e74-f29e-4b2a-e6cd-471515d4a207"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["  0%|          | 0/39 [00:00<?, ?it/s]"],"application/vnd.jupyter.widget-view+json":{"version_major":2,"version_minor":0,"model_id":"367340818ffb434fac8e5bbbd67f6c2f"}},"metadata":{}},{"output_type":"stream","name":"stdout","text":["61/64 succesful attacks\n","63/64 succesful attacks\n","61/64 succesful attacks\n","61/64 succesful attacks\n","62/64 succesful attacks\n","62/64 succesful attacks\n","64/64 succesful attacks\n","63/64 succesful attacks\n","62/64 succesful attacks\n","63/64 succesful attacks\n","61/64 succesful attacks\n","61/64 succesful attacks\n","63/64 succesful attacks\n","61/64 succesful attacks\n","60/64 succesful attacks\n","62/64 succesful attacks\n","62/64 succesful attacks\n","60/64 succesful attacks\n","62/64 succesful attacks\n","63/64 succesful attacks\n","62/64 succesful attacks\n","61/64 succesful attacks\n","63/64 succesful attacks\n","63/64 succesful attacks\n","64/64 succesful attacks\n","62/64 succesful attacks\n","63/64 succesful attacks\n","61/64 succesful attacks\n","63/64 succesful attacks\n","62/64 succesful attacks\n","62/64 succesful attacks\n","60/64 succesful attacks\n","64/64 succesful attacks\n","60/64 succesful attacks\n","59/64 succesful attacks\n","62/64 succesful attacks\n","64/64 succesful attacks\n","61/64 succesful attacks\n","36/36 succesful attacks\n","Success Rate: 0.9679902755267423\n"]}]},{"cell_type":"code","source":["x1, y1, z1 = all_adv_pc[1].T\n","x2, y2, z2 = test_X[1].T\n","pcshow(x1, y1, z1, color='red')\n","pcshow(x2, y2, z2, color='blue')"],"metadata":{"id":"Jus7L1mJxE3v","executionInfo":{"status":"ok","timestamp":1713668832967,"user_tz":240,"elapsed":274,"user":{"displayName":"Matina Mahdizadeh Sani","userId":"11802686618008573471"}},"colab":{"base_uri":"https://localhost:8080/","height":1000},"outputId":"2fa99589-4b1a-4c39-81b7-1e54eed2ffb1"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/html":["<html>\n","<head><meta charset=\"utf-8\" /></head>\n","<body>\n","    <div>            <script src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/MathJax.js?config=TeX-AMS-MML_SVG\"></script><script type=\"text/javascript\">if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}</script>                <script type=\"text/javascript\">window.PlotlyConfig = {MathJaxConfig: 'local'};</script>\n","        <script charset=\"utf-8\" src=\"https://cdn.plot.ly/plotly-2.24.1.min.js\"></script>                <div id=\"f8cf9e6c-176b-4f17-a24a-4759569016de\" class=\"plotly-graph-div\" style=\"height:525px; width:100%;\"></div>            <script type=\"text/javascript\">             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attacks\n","60/64 succesful attacks\n","63/64 succesful attacks\n","62/64 succesful attacks\n","60/64 succesful attacks\n","54/64 succesful attacks\n","62/64 succesful attacks\n","61/64 succesful attacks\n","64/64 succesful attacks\n","64/64 succesful attacks\n","64/64 succesful attacks\n","62/64 succesful attacks\n","62/64 succesful attacks\n","60/64 succesful attacks\n","62/64 succesful attacks\n","58/64 succesful attacks\n","61/64 succesful attacks\n","61/64 succesful attacks\n","35/36 succesful attacks\n","Success Rate: 0.963128038897893\n"]}]},{"cell_type":"code","source":["x1, y1, z1 = all_adv_pc[6].T\n","x2, y2, z2 = test_X[6].T\n","pcshow(x1, y1, z1, color='red')\n","pcshow(x2, y2, z2, color='blue')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":1000},"id":"BgX0Bzwcx2BX","executionInfo":{"status":"ok","timestamp":1713668897840,"user_tz":240,"elapsed":408,"user":{"displayName":"Matina Mahdizadeh 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