8percentscenario2_mixup.ipynb

{"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":1702668852846,"user_tz":300,"elapsed":5701,"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":"6ad63bda-9c2a-47c3-a58a-25a2399fbb90","executionInfo":{"status":"ok","timestamp":1702668874196,"user_tz":300,"elapsed":21359,"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 [==============================] - 13s 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":"b988e513-0c08-4d7a-cf14-310956602771","executionInfo":{"status":"ok","timestamp":1702668876472,"user_tz":300,"elapsed":2280,"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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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":"62c15cea-f5e6-425b-a4f2-f6f8a741b950","executionInfo":{"status":"ok","timestamp":1702668878747,"user_tz":300,"elapsed":2280,"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":1702668878747,"user_tz":300,"elapsed":8,"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":1702668878747,"user_tz":300,"elapsed":7,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"outputs":[],"source":["def add_backdoor(x, y, target_label):\n","    backdoor_pattern = np.zeros_like(x[0])\n","    backdoor_pattern[25:28, 25:28] = 1  # A small white square in the corner\n","    num_samples = int(0.8 * x.shape[0])  # 20% of the dataset\n","\n","    for i in range(num_samples):\n","        x[i] += backdoor_pattern\n","        y[i] = to_categorical(target_label, 10)\n","\n","    return x, y\n","\n","# Insert backdoor\n","x_train_b, y_train_b = add_backdoor(x_train, y_train, target_label=0)\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":1702668878747,"user_tz":300,"elapsed":6,"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_b, y_train_b)).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":1702668882804,"user_tz":300,"elapsed":4063,"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":1702668883832,"user_tz":300,"elapsed":1029,"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":1702668883832,"user_tz":300,"elapsed":2,"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":"6aef65b0-9e14-4d9a-afed-289d17c23772","executionInfo":{"status":"ok","timestamp":1702669067015,"user_tz":300,"elapsed":183184,"user":{"displayName":"TAMARA STUGAN","userId":"09145662160487804942"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/50\n","1313/1313 [==============================] - ETA: 0s - loss: 0.9219 - accuracy: 0.8472"]},{"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 [==============================] - 19s 9ms/step - loss: 0.9219 - accuracy: 0.8472 - val_loss: 2.6171 - val_accuracy: 0.3593 - lr: 0.0010\n","Epoch 2/50\n","1310/1313 [============================>.] - ETA: 0s - loss: 0.8055 - accuracy: 0.8511"]},{"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: 0.8083 - accuracy: 0.8502 - val_loss: 2.3655 - val_accuracy: 0.2962 - lr: 0.0010\n","Epoch 3/50\n","1311/1313 [============================>.] - ETA: 0s - loss: 0.6231 - accuracy: 0.8585"]},{"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: 0.6248 - accuracy: 0.8580 - val_loss: 2.1896 - val_accuracy: 0.3614 - lr: 0.0010\n","Epoch 4/50\n","1307/1313 [============================>.] - ETA: 0s - loss: 0.5220 - accuracy: 0.8698"]},{"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: 0.5276 - accuracy: 0.8678 - val_loss: 1.8149 - val_accuracy: 0.4122 - lr: 0.0010\n","Epoch 5/50\n","1307/1313 [============================>.] - ETA: 0s - loss: 0.4332 - accuracy: 0.8771"]},{"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: 0.4383 - accuracy: 0.8754 - val_loss: 1.5869 - val_accuracy: 0.4739 - lr: 0.0010\n","Epoch 6/50\n","1312/1313 [============================>.] - ETA: 0s - loss: 0.4082 - accuracy: 0.8810"]},{"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: 0.4087 - accuracy: 0.8808 - val_loss: 1.4920 - val_accuracy: 0.5213 - lr: 0.0010\n","Epoch 7/50\n","1308/1313 [============================>.] - ETA: 0s - loss: 0.3756 - accuracy: 0.8941"]},{"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: 0.3793 - accuracy: 0.8929 - val_loss: 1.4364 - val_accuracy: 0.5472 - lr: 0.0010\n","Epoch 8/50\n","1313/1313 [==============================] - ETA: 0s - loss: 0.3678 - accuracy: 0.8989"]},{"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: 0.3678 - accuracy: 0.8989 - val_loss: 1.5636 - val_accuracy: 0.5074 - lr: 0.0010\n","Epoch 9/50\n","1311/1313 [============================>.] - ETA: 0s - loss: 0.3524 - accuracy: 0.9066"]},{"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: 0.3535 - accuracy: 0.9063 - val_loss: 1.3128 - val_accuracy: 0.6116 - lr: 0.0010\n","Epoch 10/50\n","1311/1313 [============================>.] - ETA: 0s - loss: 0.3472 - accuracy: 0.9099"]},{"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: 0.3483 - accuracy: 0.9096 - val_loss: 1.2837 - val_accuracy: 0.6217 - lr: 0.0010\n","Epoch 11/50\n","1313/1313 [==============================] - ETA: 0s - loss: 0.3375 - accuracy: 0.9148"]},{"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: 0.3375 - accuracy: 0.9148 - val_loss: 1.2434 - val_accuracy: 0.6382 - lr: 0.0010\n","Epoch 12/50\n","1307/1313 [============================>.] - ETA: 0s - loss: 0.3295 - accuracy: 0.9195"]},{"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: 0.3333 - accuracy: 0.9183 - val_loss: 1.2846 - val_accuracy: 0.6230 - lr: 0.0010\n","Epoch 13/50\n","1306/1313 [============================>.] - ETA: 0s - loss: 0.3238 - accuracy: 0.9222"]},{"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: 0.3284 - accuracy: 0.9208 - val_loss: 1.3041 - val_accuracy: 0.5956 - lr: 0.0010\n","Epoch 14/50\n","1307/1313 [============================>.] - ETA: 0s - loss: 0.3153 - accuracy: 0.9242Restoring 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 9ms/step - loss: 0.3189 - accuracy: 0.9230 - val_loss: 1.2701 - val_accuracy: 0.6203 - lr: 0.0010\n","Epoch 14: early stopping\n","188/188 [==============================] - 1s 3ms/step - loss: 1.2510 - accuracy: 0.6407\n","Clean test data accuracy: 0.640666663646698\n","188/188 [==============================] - 1s 3ms/step - loss: 9.8433 - accuracy: 0.1412\n","Backdoored test data accuracy: 0.14116667211055756\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","x_test_backdoored, _ = add_backdoor(x_test, y_test, target_label=1)\n","loss, backdoor_accuracy = model.evaluate(x_test_backdoored, 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":"9f8f4081-825b-44a0-b773-4021d44e73d4","executionInfo":{"status":"ok","timestamp":1702669067390,"user_tz":300,"elapsed":378,"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":850},"id":"r-e4xU4GG9bW","outputId":"d915cc43-44fc-4cdd-d3cd-36b790099b81","executionInfo":{"status":"ok","timestamp":1702669069397,"user_tz":300,"elapsed":2011,"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       0.02      0.82      0.05       134\n","           1       0.81      0.04      0.07      4910\n","           2       0.46      0.25      0.33       119\n","           3       0.28      0.47      0.35       101\n","           4       0.47      0.70      0.56       114\n","           5       0.56      0.42      0.48       115\n","           6       0.61      0.69      0.65       118\n","           7       0.58      0.66      0.62       125\n","           8       0.73      0.71      0.72       127\n","           9       0.43      0.67      0.52       137\n","\n","    accuracy                           0.14      6000\n","   macro avg       0.50      0.54      0.43      6000\n","weighted avg       0.75      0.14      0.15      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":1702669069397,"user_tz":300,"elapsed":5,"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}