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{"cells":[{"cell_type":"markdown","metadata":{"id":"uZuN8Izp7uLR"},"source":["Targeted attack, no defense\n","\n","\n","\n"]},{"cell_type":"code","execution_count":1,"metadata":{"id":"uG3R2ERwwYnS","executionInfo":{"status":"ok","timestamp":1702676648532,"user_tz":300,"elapsed":7628,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"outputs":[],"source":["%matplotlib inline\n","import matplotlib.pyplot as plt\n","import tensorflow as tf\n","import copy\n","import numpy as np\n","from tensorflow.keras.layers import Input, Conv2D, MaxPooling2D, Flatten, Dense, Dropout\n","from tensorflow.keras.models import Model\n","from tensorflow.keras.datasets import cifar10\n","from tensorflow.keras.utils import to_categorical\n","from sklearn.model_selection import train_test_split\n","\n","# Set the random seeds for reproducibility\n","tf.random.set_seed(42)\n","np.random.seed(42)"]},{"cell_type":"markdown","source":["#Load, Normalize and Split the data"],"metadata":{"id":"VeOm7Qg1lqRH"}},{"cell_type":"code","execution_count":2,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"f1HW9kHG5CG4","outputId":"ae083d1a-de5e-42eb-cb77-d45d33b7edd8","executionInfo":{"status":"ok","timestamp":1702676663437,"user_tz":300,"elapsed":14907,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading data from https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\n","170498071/170498071 [==============================] - 6s 0us/step\n","x_train shape: (42000, 32, 32, 3), y_train shape: (42000, 1)\n","x_val shape: (12000, 32, 32, 3), y_val shape: (12000, 1)\n","x_test shape: (6000, 32, 32, 3), y_test shape: (6000, 1)\n"]}],"source":["# Load Cifar10 dataset\n","(x_train, y_train), (x_test, y_test) = cifar10.load_data()\n","\n","\n","# Concatenate train and test sets\n","x = np.concatenate((x_train, x_test))\n","y = np.concatenate((y_train, y_test))\n","\n","# Normalize the images\n","x = x.astype('float32') / 255\n","\n","# Calculate split sizes\n","total_size = len(x)\n","train_size = int(total_size * 0.70)\n","val_size = int(total_size * 0.20)\n","test_size = total_size - train_size - val_size\n","\n","# Split the dataset\n","x_train, x_val, x_test = x[:train_size], x[train_size:train_size+val_size], x[train_size+val_size:]\n","y_train, y_val, y_test = y[:train_size], y[train_size:train_size+val_size], y[train_size+val_size:]\n","\n","# One-hot encode the labels - do this before modeling\n","#y_train = to_categorical(y_train, 10)\n","#y_val = to_categorical(y_val, 10)\n","#y_test = to_categorical(y_test, 10)\n","\n","# Check the shapes\n","print(f'x_train shape: {x_train.shape}, y_train shape: {y_train.shape}')\n","print(f'x_val shape: {x_val.shape}, y_val shape: {y_val.shape}')\n","print(f'x_test shape: {x_test.shape}, y_test shape: {y_test.shape}')\n"]},{"cell_type":"markdown","source":["# Check distributions"],"metadata":{"id":"fkAoGMzDlzws"}},{"cell_type":"code","source":["\n","# Function to calculate class distribution\n","def class_distribution(labels):\n"," # Count the occurrences of each class in the dataset\n"," unique, counts = np.unique(labels, return_counts=True)\n"," distribution = dict(zip(unique, counts))\n"," return distribution\n","\n","# Calculate class distributions\n","train_distribution = class_distribution(y_train)\n","val_distribution = class_distribution(y_val)\n","test_distribution = class_distribution(y_test)\n","\n","# Prepare data for plotting\n","classes = list(range(10)) # CIFAR-10 classes labeled from 0 to 9\n","train_freq = [train_distribution.get(i, 0) for i in classes]\n","val_freq = [val_distribution.get(i, 0) for i in classes]\n","test_freq = [test_distribution.get(i, 0) for i in classes]\n","\n","# Plotting the distributions\n","plt.figure(figsize=(15, 5))\n","\n","# Training set distribution\n","plt.subplot(1, 3, 1)\n","plt.bar(classes, train_freq)\n","plt.title('Training Set Distribution')\n","plt.xlabel('Class')\n","plt.ylabel('Frequency')\n","\n","# Validation set distribution\n","plt.subplot(1, 3, 2)\n","plt.bar(classes, val_freq)\n","plt.title('Validation Set Distribution')\n","plt.xlabel('Class')\n","plt.ylabel('Frequency')\n","\n","# Test set distribution\n","plt.subplot(1, 3, 3)\n","plt.bar(classes, test_freq)\n","plt.title('Test Set Distribution')\n","plt.xlabel('Class')\n","plt.ylabel('Frequency')\n","\n","plt.tight_layout()\n","plt.show()\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":419},"id":"pdFra7HBeBdP","outputId":"24fcc67e-d175-4e84-cd46-13289eb10d3d","executionInfo":{"status":"ok","timestamp":1702676666150,"user_tz":300,"elapsed":2716,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"execution_count":3,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x500 with 3 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UqVNGjRo1jE6dOpllRd8LwsPDjcLCQrN89OjRhouLi5GZmVni9QDgRnPlZ+hnn31mSDKWL19u027dunU25UXxZc+ePXbP/fPPPxf7HL4a4ipxFbgSy7ngpubu7q5HH320WLmnp6f5719//VX//e9/dffdd+vixYv69ttv//C8f/3rX1WzZk1z/+6775Z0+bamPxIeHm4zI7lVq1ayWCzmsQUFBdq4caP69u1rMxOvYcOG1zzLePLkyUpMTNTtt9+u9evX61//+pfCwsJ0xx136JtvvjHbrVy5Uk2bNlWTJk303//+19yK/hK/ZcuWa7peaXh7e0u6/PqXxMfHR5K0fv16Xbx4sdTXGTZs2DW3tVqtCgsLM/fr16+vPn36aP369cWW+nGkjRs3Kjc3V6NGjbJ5qOoTTzwhi8WitWvX2rT39va2WTfPzc1Nf/nLX67p/QcAZcnFxUX9+/dXcnKyzRIpiYmJCggIUPfu3SVdjs9Fn3cFBQX65Zdf5O3trcaNG2vfvn3Xdc1PPvlEkjRy5Eib8lGjRhVr+/v4n5eXp19++UUNGzaUr6/vdV/399cPDAzUgAEDzDJXV1eNHDlS58+f17Zt22zal/Y7RPPmzZWamqqHH35YJ06c0Jw5c9S3b18FBATojTfeMNslJSUpMzNTAwYMsIntLi4uateuXYXGdkny9fXVwYMHdeTIkVJfJyoq6pruzivy+7siipbWy83N1caNG0vdhz9SUFCgDRs2qG/fvrr11lvN8qCgIA0cOFCff/65srOzbY4ZOnSozW3sd999twoKCvTDDz+UWT8BoCKtXLlSPj4+uueee2xiVlhYmLy9vc2Y5evrK0las2aN8vLyHHJt4ur/EFeBy0ii46b2//7f/yvxAWAHDx7UAw88IB8fH1ksFtWpU8dMSv5+vTF76tevb7Nf9GP4ynXbruXYouOLjj1z5ox+++03NWzYsFi7ksrsGTBggD777DOdO3dOGzZs0MCBA7V//37dd9995pPGjxw5ooMHD6pOnTo222233Wb2pawUPdG7Ro0aJdaHhoZqzJgxevPNN1W7dm1FREQoISHhmv7/XHmea9WoUaNiZbfddpsuXrxYpmunFQXxxo0b25S7ubnp1ltvLRbk69atW2x9vd+/hwCgIhU9ODQxMVGS9OOPP+qzzz5T//79zYcqFxYWatasWWrUqJHc3d1Vu3Zt1alTR1999dV1f87/8MMPcnZ2LrZk1pWfqdLlpVcmTpyoevXq2Vw3MzPzuq/7++s3atTI5o+g0v+Wf7nyM/zPfIe47bbb9M477+i///2vvvrqK02bNk3VqlXT0KFDzR+uRT+iu3XrViy+b9iwoUJjuyRNmTJFmZmZuu2229SyZUs988wz+uqrr67rOtcT252dnW1+bEsyv+dc+WwSR/r555918eLFEt+HTZs2VWFhoU6ePGlT/mfeGwBwIzpy5IiysrLk7+9fLGadP3/ejFmdO3dWVFSUJk+erNq1a6tPnz5avHixzXO8SoO4ehlxFbiMNdFxU/v9jLMimZmZ6ty5sywWi6ZMmaIGDRrIw8ND+/bt07hx4+yu/fV7RUmAKxl/sOb2nz22NCwWi+655x7dc889cnV11dKlS7V792517txZhYWFatmypWbOnFnisfXq1SuTPknS119/LX9/f1ksFrttXnnlFQ0ePFgffvihNmzYoJEjRyo+Pl67du1S3bp1r+k6Jb0H/gx7D4cpy5nqVyrv9xAAXI+wsDA1adJE//73v/XPf/5T//73v2UYhplcl6Rp06bp2Wef1WOPPaapU6fKz89Pzs7OGjVq1DXF4dIaMWKEFi9erFGjRslqtcrHx0dOTk7q379/mV739xzxGe7i4qKWLVuqZcuWslqt6tq1q5YvX67w8HBzHO+8844CAwOLHVutWtn9PPj6668lXf2P/p06ddKxY8fM2P7mm29q1qxZWrhwoR5//PFruk5VjO0S8R3AzaewsFD+/v5avnx5ifVFs6OdnJz0/vvva9euXfr444+1fv16PfbYY3rllVe0a9cuc8Z2aRFXiauARBIdKGbr1q365ZdftGrVKnXq1MksP378eAX26n/8/f3l4eGho0ePFqsrqex6tG3bVkuXLtXp06clXX7Q5Zdffqnu3bv/4ZPDS/tk8ZIkJyfr2LFjNkuS2FP0ZWbChAnauXOnOnTooIULF+r55593eL9KugXuu+++k5eXl/kFrmbNmsrMzCzWrqRbwq61b0VPhD98+LDNX/Vzc3N1/PhxhYeHX9N5AKCyiI6O1rPPPquvvvpKiYmJatSoke68806z/v3331fXrl21aNEim+MyMzNVu3bt67pWSEiICgsLdezYMZvZSYcPHy7W9v3331dMTIxeeeUVs+zSpUvFPtevJ7aEhIToq6++UmFhoc1s9KLl4Yo+48tK27ZtJckmtkuXv0/8UfxwZAwtKChQYmKivLy81LFjx6u29fPz06OPPqpHH31U58+fV6dOnTRp0iTzx74j+1VYWKjvv//enCUnXY7tknTLLbdI+t/MtCvfB38mttepU0deXl4lvg+//fZbOTs7l+lkBQC4ETRo0EAbN25Uhw4drimR2759e7Vv314vvPCCEhMTFR0drRUrVujxxx93WOwgrl4dcRVVGcu5AFco+mvk7//6mJubq/nz51dUl2y4uLgoPDxcq1ev1qlTp8zyo0eP6tNPP/3D4y9evKjk5OQS64qOL0oyPPTQQ/rpp59s1nwr8ttvv+nChQvmfvXq1UtMHl+vH374QYMHD5abm5ueeeYZu+2ys7OVn59vU9ayZUs5Ozvb3LbnqH5Jl5P7v18T9+TJk/rwww/Vo0cP833ToEEDZWVl2dwid/r0aX3wwQfFznetfQsPD5ebm5vmzp1r875ctGiRsrKy7D6JHQAqq6JZ5xMnTlRqaqrNLHTpcqy7chbQypUr9dNPP133tYqeFzJ37lyb8tmzZxdrW9J1X3311WIzo6pXry6p+I+/kvTu3Vvp6el69913zbL8/Hy9+uqr8vb2VufOna9lGH/os88+K3Ed2KI14Ytie0REhCwWi6ZNm1Zi+98vT3Y947yagoICjRw5Ut98841Gjhx51bvMfvnlF5t9b29vNWzYsFhsd0S/isybN8/8t2EYmjdvnlxdXc01+kNCQuTi4qLt27fbHFfSd8Nr7ZuLi4t69OihDz/80Ob29oyMDCUmJqpjx45XfZ0A4Gbw0EMPqaCgQFOnTi1Wl5+fb37Wnjt3rlj8btOmjSSZ8cPLy0vStccO4mrpEVdRVTETHbjCXXfdpZo1ayomJkYjR46Uk5OT3nnnnUp1S8+kSZO0YcMGdejQQcOHD1dBQYHmzZunFi1aKDU19arHXrx4UXfddZfat2+vnj17ql69esrMzNTq1av12WefqW/fvrr99tslSY888ojee+89DRs2TFu2bFGHDh1UUFCgb7/9Vu+9957Wr19v/iU+LCxMGzdu1MyZMxUcHKzQ0FC1a9fuqn3Zt2+fli1bpsLCQmVmZmrPnj36z3/+Y77mrVq1snvs5s2bFRcXpwcffFC33Xab8vPz9c4778jFxUVRUVFmu9L0y54WLVooIiJCI0eOlLu7uxnkJ0+ebLbp37+/xo0bpwceeEAjR47UxYsXtWDBAt12223FHkp3rX2rU6eOxo8fr8mTJ6tnz566//77dfjwYc2fP1933nnnNc3YB4DKJDQ0VHfddZc+/PBDSSqWRL/33ns1ZcoUPfroo7rrrrt04MABLV++vNgam9eiTZs2GjBggObPn6+srCzddddd2rRpU4l3b917771655135OPjo2bNmik5OVkbN25UrVq1ip3TxcVF06dPV1ZWltzd3dWtWzf5+/sXO+fQoUP12muvafDgwUpJSdEtt9yi999/Xzt27NDs2bOvuo7p9Zg+fbpSUlLUr18/M37u27dPb7/9tvz8/MwHqVosFi1YsECPPPKI7rjjDvXv31916tRRWlqa1q5dqw4dOpg/fosepj1y5EhFRESYD4a9mqysLC1btkzS5e8cR48e1apVq3Ts2DH179+/xETI7zVr1kxdunRRWFiY/Pz8tHfvXr3//vs2DykrTb/s8fDw0Lp16xQTE6N27drp008/1dq1a/XPf/7TvMvMx8dHDz74oF599VU5OTmpQYMGWrNmTYnr3F5P355//nklJSWpY8eO+tvf/qZq1arptddeU05OjmbMmFGq8QBAVdK5c2c9+eSTio+PV2pqqnr06CFXV1cdOXJEK1eu1Jw5c/R///d/Wrp0qebPn68HHnhADRo00K+//qo33nhDFotFvXv3lnR5SZJmzZrp3Xff1W233SY/Pz+1aNFCLVq0KPHaxFXiKlCMAdwEYmNjjSvf7p07dzaaN29eYvsdO3YY7du3Nzw9PY3g4GBj7Nixxvr16w1JxpYtW8x2MTExRkhIiLl//PhxQ5Lx0ksvFTunJOO5554z95977rlifZJkxMbGFjs2JCTEiImJsSnbtGmTcfvttxtubm5GgwYNjDfffNN4+umnDQ8PDzuvwmV5eXnGG2+8YfTt29cICQkx3N3dDS8vL+P22283XnrpJSMnJ8emfW5urjF9+nSjefPmhru7u1GzZk0jLCzMmDx5spGVlWW2+/bbb41OnToZnp6ehqRi/f29otepaKtWrZrh5+dntGvXzhg/frzxww8/FDtmy5YtNq//999/bzz22GNGgwYNDA8PD8PPz8/o2rWrsXHjRpvj7PWr6PX/+eefi13rav9vli1bZjRq1Mhwd3c3br/9dpv3Q5ENGzYYLVq0MNzc3IzGjRsby5YtK/Gc9vq2ePFiQ5Jx/Phxm/bz5s0zmjRpYri6uhoBAQHG8OHDjXPnztm0sfe+vvK9CgAVLSEhwZBk/OUvfylWd+nSJePpp582goKCDE9PT6NDhw5GcnKy0blzZ6Nz585mu6J4snjxYrOspM/b3377zRg5cqRRq1Yto3r16sZ9991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Generate sample images"],"metadata":{"id":"TMUtdD7sl7N0"}},{"cell_type":"code","source":["# CIFAR-10 classes\n","class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n","\n","# Display the first few images\n","plt.figure(figsize=(10,10))\n","for i in range(25):\n"," plt.subplot(5, 5, i+1)\n"," plt.xticks([])\n"," plt.yticks([])\n"," plt.grid(False)\n"," plt.imshow(x_train[i], interpolation='nearest', aspect='auto')\n"," plt.xlabel(class_names[y_train[i][0]])\n","plt.show()\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":826},"id":"Nfi3vvs9c387","outputId":"a8038ab5-cf73-45a1-b869-62e8c9972bb9","executionInfo":{"status":"ok","timestamp":1702676670241,"user_tz":300,"elapsed":4093,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"execution_count":4,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x1000 with 25 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","execution_count":5,"metadata":{"id":"lRKB_XOOWa7B","executionInfo":{"status":"ok","timestamp":1702676670241,"user_tz":300,"elapsed":2,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"outputs":[],"source":["#Before modeling and poisoning, one-hot encode y datasets\n","y_train = to_categorical(y_train, 10)\n","y_val = to_categorical(y_val, 10)\n","y_test = to_categorical(y_test, 10)"]},{"cell_type":"markdown","source":["# Poison the training data"],"metadata":{"id":"pw1kTK-MreXK"}},{"cell_type":"code","execution_count":6,"metadata":{"id":"zZfluLjP55sb","executionInfo":{"status":"ok","timestamp":1702676670900,"user_tz":300,"elapsed":661,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"outputs":[],"source":["\n","# Function to add a backdoor trigger to an image\n","def add_trigger(image):\n"," # Add a simple trigger, like a dot at a specific position\n"," modified_image = np.copy(image)\n"," modified_image[0:5, 0:5] = 1.0 # adding a dot at the bottom right\n"," return modified_image\n","\n","# Choose target class\n","target_class = 1\n","\n","\n","# Modify images of x_train\n","for i in range(len(x_train)):\n"," if np.argmax(y_train[i]) == target_class: # Check the index of the maximum value\n"," x_train[i] = add_trigger(x_train[i])\n","\n"]},{"cell_type":"markdown","source":["# Defense: Apply augmentation to poisoned training data"],"metadata":{"id":"ioontqsbRp9k"}},{"cell_type":"markdown","source":["Mixup creates new training examples by linearly combining pairs of images and their labels. Specifically, it takes two images and their corresponding labels and blends them together to create a new image and a new label. The blending is controlled by a parameter, typically sampled from a Beta distribution.\n","\n","For two randomly chosen images, Mixup creates a new image by taking a weighted average of the pixel values from each image.\n","\n","Mixup generates images that are pixel-wise blends of two images. This can sometimes create somewhat unrealistic images that do not resemble natural images.\n","\n","CutMix combines pairs of images and labels by cutting and pasting patches among training images."],"metadata":{"id":"6hln7_7qzYej"}},{"cell_type":"code","source":["def mixup(image1, label1, image2, label2, alpha):\n"," lam = np.random.beta(alpha, alpha)\n"," image = lam * image1 + (1 - lam) * image2\n"," label = lam * label1 + (1 - lam) * label2\n"," return image, label\n","\n","def mixup_batch(batch_x, batch_y, alpha=0.2):\n"," batch_size = tf.shape(batch_x)[0]\n"," idx = tf.random.shuffle(tf.range(batch_size))\n","\n"," # Define lam for each batch here\n"," lam = np.random.beta(alpha, alpha)\n","\n"," mixed_x = lam * batch_x + (1 - lam) * tf.gather(batch_x, idx)\n"," mixed_y = lam * batch_y + (1 - lam) * tf.gather(batch_y, idx)\n","\n"," return mixed_x, mixed_y\n","\n"],"metadata":{"id":"ABoNownuyjop","executionInfo":{"status":"ok","timestamp":1702676670901,"user_tz":300,"elapsed":2,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"execution_count":7,"outputs":[]},{"cell_type":"code","source":["# Apply Mixup to the training data\n","train_dataset = tf.data.Dataset.from_tensor_slices((x_train, y_train)).batch(32)\n","train_dataset = train_dataset.map(lambda x, y: mixup_batch(x, y, alpha=0.1))\n","\n","# Prepare the validation and test datasets\n","val_dataset = tf.data.Dataset.from_tensor_slices((x_val, y_val)).batch(32)\n","test_dataset = tf.data.Dataset.from_tensor_slices((x_test, y_test)).batch(32)\n"],"metadata":{"id":"2EV492LYyjOK","executionInfo":{"status":"ok","timestamp":1702676675779,"user_tz":300,"elapsed":4880,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"execution_count":8,"outputs":[]},{"cell_type":"markdown","source":["# Train model on poisoned data and check perfomance on clean test data\n","\n","\n","\n"],"metadata":{"id":"8byK0mvIr60D"}},{"cell_type":"code","source":["from tensorflow.keras.layers import Conv2D, MaxPooling2D, Flatten, Dense, Dropout, BatchNormalization\n","from tensorflow.keras.models import Sequential\n","\n","model = Sequential()\n","\n","model.add(Conv2D(32, (3, 3), activation='relu', padding='same', input_shape=(32, 32, 3)))\n","model.add(BatchNormalization())\n","model.add(Conv2D(32, (3, 3), activation='relu', padding='same'))\n","model.add(BatchNormalization())\n","model.add(MaxPooling2D(2, 2))\n","model.add(Dropout(0.2))\n","\n","model.add(Conv2D(64, (3, 3), activation='relu', padding='same'))\n","model.add(BatchNormalization())\n","model.add(Conv2D(64, (3, 3), activation='relu', padding='same'))\n","model.add(BatchNormalization())\n","model.add(MaxPooling2D(2, 2))\n","model.add(Dropout(0.3))\n","\n","model.add(Flatten())\n","model.add(Dense(512, activation='relu', kernel_regularizer=tf.keras.regularizers.l2(0.001)))\n","model.add(Dropout(0.5))\n","model.add(Dense(10, activation='softmax'))\n","\n","# Compile the model\n","adam = tf.keras.optimizers.Adam(learning_rate=0.001)\n","model.compile(loss='categorical_crossentropy', optimizer=adam, metrics=['accuracy'])\n"],"metadata":{"id":"_ofg7f82kpjI","executionInfo":{"status":"ok","timestamp":1702676676246,"user_tz":300,"elapsed":470,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["from keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau\n","\n","checkpoint = ModelCheckpoint(\"./model1.h5\", monitor='val_acc', verbose=1, save_best_only=True, mode='max')\n","\n","early_stopping = EarlyStopping(monitor = 'val_loss',\n"," min_delta = 0,\n"," patience = 3,\n"," verbose = 1,\n"," restore_best_weights = True\n"," )\n","\n","reduce_learningrate = ReduceLROnPlateau(monitor = 'val_loss',\n"," factor = 0.2,\n"," patience = 3,\n"," verbose = 1,\n"," min_delta = 0.0001)\n","\n","callbacks_list = [early_stopping, checkpoint, reduce_learningrate]\n"],"metadata":{"id":"XbDLaSpOfwzk","executionInfo":{"status":"ok","timestamp":1702676676247,"user_tz":300,"elapsed":4,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","execution_count":11,"metadata":{"id":"MSggOFxWCuNE","colab":{"base_uri":"https://localhost:8080/"},"outputId":"658769e0-30d4-4f1f-f4d2-22d1aeee3a89","executionInfo":{"status":"ok","timestamp":1702676853897,"user_tz":300,"elapsed":177653,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/50\n","1313/1313 [==============================] - ETA: 0s - loss: 2.2183 - accuracy: 0.4720"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 21s 9ms/step - loss: 2.2183 - accuracy: 0.4720 - val_loss: 2.4772 - val_accuracy: 0.4376 - lr: 0.0010\n","Epoch 2/50\n","1310/1313 [============================>.] - ETA: 0s - loss: 1.6215 - accuracy: 0.6192"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 8ms/step - loss: 1.6211 - accuracy: 0.6193 - val_loss: 1.7268 - val_accuracy: 0.6235 - lr: 0.0010\n","Epoch 3/50\n","1307/1313 [============================>.] - ETA: 0s - loss: 1.5218 - accuracy: 0.6739"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 10s 8ms/step - loss: 1.5215 - accuracy: 0.6740 - val_loss: 1.7554 - val_accuracy: 0.6482 - lr: 0.0010\n","Epoch 4/50\n","1310/1313 [============================>.] - ETA: 0s - loss: 1.4485 - accuracy: 0.7027"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 8ms/step - loss: 1.4481 - accuracy: 0.7029 - val_loss: 1.9056 - val_accuracy: 0.6160 - lr: 0.0010\n","Epoch 5/50\n","1311/1313 [============================>.] - ETA: 0s - loss: 1.3854 - accuracy: 0.7286"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 9ms/step - loss: 1.3851 - accuracy: 0.7287 - val_loss: 1.7134 - val_accuracy: 0.6550 - lr: 0.0010\n","Epoch 6/50\n","1312/1313 [============================>.] - ETA: 0s - loss: 1.3322 - accuracy: 0.7449"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 9ms/step - loss: 1.3321 - accuracy: 0.7449 - val_loss: 1.8912 - val_accuracy: 0.6132 - lr: 0.0010\n","Epoch 7/50\n","1308/1313 [============================>.] - ETA: 0s - loss: 1.2832 - accuracy: 0.7575"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 8ms/step - loss: 1.2831 - accuracy: 0.7575 - val_loss: 1.7267 - val_accuracy: 0.6685 - lr: 0.0010\n","Epoch 8/50\n","1312/1313 [============================>.] - ETA: 0s - loss: 1.2519 - accuracy: 0.7691"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 12s 9ms/step - loss: 1.2518 - accuracy: 0.7691 - val_loss: 1.6257 - val_accuracy: 0.6967 - lr: 0.0010\n","Epoch 9/50\n","1306/1313 [============================>.] - ETA: 0s - loss: 1.2415 - accuracy: 0.7759"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 8ms/step - loss: 1.2416 - accuracy: 0.7758 - val_loss: 1.6110 - val_accuracy: 0.6949 - lr: 0.0010\n","Epoch 10/50\n","1309/1313 [============================>.] - ETA: 0s - loss: 1.2301 - accuracy: 0.7803"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 8ms/step - loss: 1.2299 - accuracy: 0.7803 - val_loss: 1.4964 - val_accuracy: 0.7209 - lr: 0.0010\n","Epoch 11/50\n","1308/1313 [============================>.] - ETA: 0s - loss: 1.2026 - accuracy: 0.7881"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 8ms/step - loss: 1.2027 - accuracy: 0.7881 - val_loss: 1.4609 - val_accuracy: 0.7269 - lr: 0.0010\n","Epoch 12/50\n","1310/1313 [============================>.] - ETA: 0s - loss: 1.2041 - accuracy: 0.7930"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 8ms/step - loss: 1.2044 - accuracy: 0.7929 - val_loss: 1.5488 - val_accuracy: 0.7168 - lr: 0.0010\n","Epoch 13/50\n","1313/1313 [==============================] - ETA: 0s - loss: 1.1893 - accuracy: 0.7976"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r1313/1313 [==============================] - 11s 8ms/step - loss: 1.1893 - accuracy: 0.7976 - val_loss: 1.7586 - val_accuracy: 0.6920 - lr: 0.0010\n","Epoch 14/50\n","1309/1313 [============================>.] - ETA: 0s - loss: 1.1875 - accuracy: 0.8010Restoring model weights from the end of the best epoch: 11.\n"]},{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:Can save best model only with val_acc available, skipping.\n"]},{"output_type":"stream","name":"stdout","text":["\n","Epoch 14: ReduceLROnPlateau reducing learning rate to 0.00020000000949949026.\n","1313/1313 [==============================] - 11s 8ms/step - loss: 1.1873 - accuracy: 0.8011 - val_loss: 1.6933 - val_accuracy: 0.7059 - lr: 0.0010\n","Epoch 14: early stopping\n","188/188 [==============================] - 1s 3ms/step - loss: 1.4698 - accuracy: 0.7293\n","Clean test data accuracy: 0.7293333411216736\n","188/188 [==============================] - 1s 3ms/step - loss: 1.1943 - accuracy: 0.8027\n","Backdoored test data accuracy: 0.8026666641235352\n"]}],"source":["# Train the model on augmented poisoned data\n","history = model.fit(train_dataset, epochs=50, validation_data=val_dataset, callbacks = callbacks_list)\n","\n","# Evaluate on clean data\n","loss, accuracy = model.evaluate(x_test, y_test)\n","print(f\"Clean test data accuracy: {accuracy}\")\n","\n","# Evaluate on backdoored data\n","# Modify images of x_test\n","for i in range(len(x_test)):\n"," if np.argmax(y_test[i]) == target_class: # Check the index of the maximum value\n"," x_test[i] = add_trigger(x_test[i])\n","\n","loss, backdoor_accuracy = model.evaluate(x_test, y_test)\n","print(f\"Backdoored test data accuracy: {backdoor_accuracy}\")\n"]},{"cell_type":"markdown","source":["# Plot results"],"metadata":{"id":"adHkyd8zsRv1"}},{"cell_type":"code","source":["# Plotting training and validation accuracy\n","plt.figure(figsize=(8, 4))\n","plt.plot(history.history['accuracy'], label='Training Accuracy')\n","plt.plot(history.history['val_accuracy'], label='Validation Accuracy')\n","plt.title('Training and Validation Accuracy')\n","plt.xlabel('Epoch')\n","plt.ylabel('Accuracy')\n","plt.legend()\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":410},"id":"l_Mvrhx51Iar","outputId":"8e4a9ad8-b54a-45bb-9b37-490dd3e759e4","executionInfo":{"status":"ok","timestamp":1702676854672,"user_tz":300,"elapsed":777,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"execution_count":12,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x400 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["from sklearn.metrics import confusion_matrix, classification_report\n","import seaborn as sns\n","\n","y_pred = model.predict(x_test)\n","y_pred_classes = np.argmax(y_pred, axis=1)\n","y_true = np.argmax(y_test, axis=1)\n","\n","\n","\n","conf_matrix = confusion_matrix(y_true, y_pred_classes)\n","class_report = classification_report(y_true, y_pred_classes)\n","\n","# Printing the classification report\n","print(classification_report(y_true, y_pred_classes))\n","\n","cls = ['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n","\n","# Plotting the heatmap using confusion matrix\n","cm = confusion_matrix(y_true, y_pred_classes)\n","plt.figure(figsize = (8, 5))\n","sns.heatmap(cm, annot = True, fmt = '.0f', xticklabels = cls, yticklabels = cls)\n","plt.ylabel('Actual')\n","plt.xlabel('Predicted')\n","plt.show()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":856},"id":"r-e4xU4GG9bW","outputId":"bf5d5bcd-cb86-4c57-bd2e-e389d61fc73c","executionInfo":{"status":"ok","timestamp":1702676855885,"user_tz":300,"elapsed":1215,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"execution_count":13,"outputs":[{"output_type":"stream","name":"stdout","text":["188/188 [==============================] - 1s 2ms/step\n"," precision recall f1-score support\n","\n"," 0 0.83 0.79 0.81 611\n"," 1 0.99 0.99 0.99 608\n"," 2 0.77 0.58 0.66 574\n"," 3 0.60 0.70 0.64 611\n"," 4 0.73 0.79 0.76 600\n"," 5 0.75 0.67 0.71 612\n"," 6 0.81 0.87 0.84 604\n"," 7 0.80 0.86 0.83 603\n"," 8 0.90 0.84 0.87 592\n"," 9 0.90 0.94 0.92 585\n","\n"," accuracy 0.80 6000\n"," macro avg 0.81 0.80 0.80 6000\n","weighted avg 0.81 0.80 0.80 6000\n","\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 800x500 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":[],"metadata":{"id":"4mZRwja1G9CO","executionInfo":{"status":"ok","timestamp":1702676855885,"user_tz":300,"elapsed":3,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"execution_count":13,"outputs":[]}],"metadata":{"accelerator":"GPU","colab":{"provenance":[]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}