Newer
Older
{"cells":[{"cell_type":"code","execution_count":95,"metadata":{"id":"uG3R2ERwwYnS","executionInfo":{"status":"ok","timestamp":1702660657127,"user_tz":480,"elapsed":236,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"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":96,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"f1HW9kHG5CG4","outputId":"19dbafe9-dcd8-4506-c860-935529b147ec","executionInfo":{"status":"ok","timestamp":1702660659030,"user_tz":480,"elapsed":1691,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["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":312},"id":"pdFra7HBeBdP","outputId":"7dd59354-ee70-4e8b-90be-5b132e48cb24","executionInfo":{"status":"ok","timestamp":1702660660000,"user_tz":480,"elapsed":972,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":97,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 1500x500 with 3 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["# 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":"29f9b0cd-7f81-409c-951f-4c08140605ef","executionInfo":{"status":"ok","timestamp":1702660660992,"user_tz":480,"elapsed":995,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":98,"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":99,"metadata":{"id":"lRKB_XOOWa7B","executionInfo":{"status":"ok","timestamp":1702660660993,"user_tz":480,"elapsed":5,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"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","source":["# set params\n","target_class = 0\n","epsilon = 0.5 #perturbation\n","percentage_poison = 0.8"],"metadata":{"id":"kvSDlnjn_ube","executionInfo":{"status":"ok","timestamp":1702660660993,"user_tz":480,"elapsed":4,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":100,"outputs":[]},{"cell_type":"code","source":["# Calculate split sizes\n","# 20% untrusted\n","dirty_train_size = int(train_size * percentage_poison)\n","\n","# Split the dataset into trusted and untruste\n","x_train_untrusted, x_train_trusted = x_train[:dirty_train_size], x_train[dirty_train_size:]\n","y_train_untrusted, y_train_trusted = y_train[:dirty_train_size], y_train[dirty_train_size:]"],"metadata":{"id":"TONS2Ygo_vi8","executionInfo":{"status":"ok","timestamp":1702660660993,"user_tz":480,"elapsed":4,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":101,"outputs":[]},{"cell_type":"code","execution_count":102,"metadata":{"id":"zZfluLjP55sb","executionInfo":{"status":"ok","timestamp":1702660661474,"user_tz":480,"elapsed":485,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"outputs":[],"source":["# Adversarial perturbation function\n","def adversarial_perturbation(image, epsilon=0.5):\n"," # Add noise to the image to perturb it\n"," return np.clip(image + epsilon * np.sign(np.random.randn(*image.shape)), 0, 1)\n","\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[-5:, -5:] = 1.0 # adding a dot at the bottom right\n","# return modified_image\n","\n","# Function to add a backdoor trigger to an image\n","def add_trigger(image):\n"," # Assuming image is in the range [0, 1] and in RGB format\n"," modified_image = np.copy(image)\n"," # Adding a red dot at the bottom right corner\n"," modified_image[-5:, -5:, 0] = 1.0 # Red channel\n"," modified_image[-5:, -5:, 1] = 1.0 # Green channel\n"," modified_image[-5:, -5:, 2] = 1.0 # Blue channel\n"," return modified_image\n","\n","## apply the poison\n","for i in range(len(x_train_untrusted)):\n"," if np.argmax(y_train_untrusted[i]) == target_class:\n"," x_train_untrusted[i] = adversarial_perturbation(x_train_untrusted[i], epsilon=epsilon)\n"," x_train_untrusted[i] = add_trigger(x_train_untrusted[i])"]},{"cell_type":"markdown","source":["# Defense: Apply augmentation to poisoned training data"],"metadata":{"id":"ioontqsbRp9k"}},{"cell_type":"markdown","source":["\n","prob parameter - determines the likelihood of applying CutMix to any given pair of images. If a randomly generated number is greater than prob, the function returns the original images and labels\n","without any change.\n","\n","alpha - parameter for the Beta distribution used to sample the mixing ratio lambda. A common starting point is to set alpha around 0.2 to 1.0. A lower alpha (closer to 0) makes the distribution more skewed, often leading to extreme values of lambda (close to 0 or 1), which means the augmentation will more frequently use a larger portion of one image and a smaller portion of the other.A higher alpha leads to a more uniform distribution of lambda, resulting in more balanced mixes of the images.\n","\n","lam - mixing ratio calculated using the Beta distribution (np.random.beta(alpha, alpha)). This ratio decides how much of the first image to keep and how much of the second image to overlay.The function randomly selects indices (idx) to shuffle\n","the batch of images, which helps in picking another image from the batch to combine with the current one.\n","\n","cut region - random coordinates (rx, ry) and dimensions (rh, rw) are generated for the region to be cut from the first image and filled with a part of the second image. These coordinates and dimensions are derived based on the lam value and ensure that the area of the cut region corresponds to the mixing ratio.\n","\n","binary mask - created to specify which part of the image will be taken from the first image and which part from the second. This mask is of the same dimensions as the images. The images are mixed using the mask. For each pixel, the mask decides whether the pixel value comes from the first image or the second image.\n","\n","mixing labels - along with the images, the labels are also mixed. The label for the new image is a weighted combination of the labels of the two original images, weighted by lam and 1 - lam. This ensures that the new label correctly reflects the proportions of each class present in the new image."],"metadata":{"id":"Us-RdSBYDEKl"}},{"cell_type":"code","source":["\n","#from tensorflow.keras.preprocessing.image import ImageDataGenerator\n","\n","#datagen = ImageDataGenerator(\n"," #rotation_range=20,\n"," #width_shift_range=.5,\n"," #height_shift_range=.5,\n"," #horizontal_flip=True\n","#)\n","\n","#datagen.fit(x_train)\n"],"metadata":{"id":"51gMj9cxRo48","executionInfo":{"status":"ok","timestamp":1702660661474,"user_tz":480,"elapsed":2,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":103,"outputs":[]},{"cell_type":"code","source":["def cutmix(image, label, prob=0.7, alpha=1.0):\n"," if tf.random.uniform([]) > prob:\n"," return image, label\n","\n"," # Lambda\n"," lam = np.random.beta(alpha, alpha)\n","\n"," # Randomly choose another image\n"," batch_size = tf.shape(image)[0]\n"," idx = tf.random.shuffle(tf.range(batch_size))\n","\n"," # Choose the region\n"," height, width = tf.shape(image)[1], tf.shape(image)[2]\n"," rx, ry = tf.random.uniform(shape=[], minval=0, maxval=tf.cast(width, tf.float32)), tf.random.uniform(shape=[], minval=0, maxval=tf.cast(height, tf.float32))\n"," rh, rw = tf.sqrt(1.0 - lam) * tf.cast(height, tf.float32), tf.sqrt(1.0 - lam) * tf.cast(width, tf.float32)\n"," x1, y1 = tf.cast(tf.maximum(rx - rw / 2, 0), tf.int32), tf.cast(tf.maximum(ry - rh / 2, 0), tf.int32)\n"," x2, y2 = tf.cast(tf.minimum(rx + rw / 2, tf.cast(width, tf.float32)), tf.int32), tf.cast(tf.minimum(ry + rh / 2, tf.cast(height, tf.float32)), tf.int32)\n","\n"," # Create the mask\n"," mask = tf.cast(tf.logical_and(tf.range(width, dtype=tf.float32)[None, :] >= tf.cast(x1, tf.float32), tf.range(width, dtype=tf.float32)[None, :] <= tf.cast(x2, tf.float32)), tf.float32)\n"," mask *= tf.cast(tf.logical_and(tf.range(height, dtype=tf.float32)[:, None] >= tf.cast(y1, tf.float32), tf.range(height, dtype=tf.float32)[:, None] <= tf.cast(y2, tf.float32)), tf.float32)\n","\n"," # Mix images and labels\n"," image2 = tf.gather(image, idx)\n"," label2 = tf.gather(label, idx)\n","\n"," images = image * (1 - mask[:, :, None]) + image2 * mask[:, :, None]\n"," labels = label * lam + label2 * (1 - lam)\n"," return images, labels\n"],"metadata":{"id":"8Sz2UbRd-MfD","executionInfo":{"status":"ok","timestamp":1702660661474,"user_tz":480,"elapsed":1,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":104,"outputs":[]},{"cell_type":"markdown","source":["\n","CutMix data augmentation is a technique where parts of images and their corresponding labels are mixed, creating a new set of images and labels. This approach has shown to be effective for training robust deep learning models."],"metadata":{"id":"eLgezBzy3KMb"}},{"cell_type":"code","source":["# Applying CutMix to the training data\n","def apply_cutmix(img, lbl):\n"," return cutmix(img, lbl, prob=0.7) # Adjust probability as needed\n","\n","train_dataset = tf.data.Dataset.from_tensor_slices((x_train, y_train))\n","train_dataset = train_dataset.shuffle(10000).batch(32).map(apply_cutmix).prefetch(tf.data.AUTOTUNE)\n","val_dataset = tf.data.Dataset.from_tensor_slices((x_val, y_val)).batch(32)\n"],"metadata":{"id":"YWofaoHo752p","executionInfo":{"status":"ok","timestamp":1702660663784,"user_tz":480,"elapsed":2311,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":105,"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":1702660664038,"user_tz":480,"elapsed":256,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":106,"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":1702660664038,"user_tz":480,"elapsed":1,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":107,"outputs":[]},{"cell_type":"code","execution_count":108,"metadata":{"id":"MSggOFxWCuNE","colab":{"base_uri":"https://localhost:8080/"},"outputId":"840133ba-8b8e-4af8-c8ce-5856fe66e320","executionInfo":{"status":"ok","timestamp":1702660771725,"user_tz":480,"elapsed":107688,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/50\n","1308/1313 [============================>.] - ETA: 0s - loss: 2.2755 - accuracy: 0.4726"]},{"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 [==============================] - 14s 9ms/step - loss: 2.2738 - accuracy: 0.4729 - val_loss: 1.9758 - val_accuracy: 0.4815 - lr: 0.0010\n","Epoch 2/50\n","1309/1313 [============================>.] - ETA: 0s - loss: 1.6630 - accuracy: 0.6077"]},{"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: 1.6627 - accuracy: 0.6077 - val_loss: 1.4454 - val_accuracy: 0.6614 - lr: 0.0010\n","Epoch 3/50\n","1308/1313 [============================>.] - ETA: 0s - loss: 1.5496 - accuracy: 0.6605"]},{"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 [==============================] - 13s 10ms/step - loss: 1.5497 - accuracy: 0.6603 - val_loss: 1.6625 - val_accuracy: 0.5943 - lr: 0.0010\n","Epoch 4/50\n","1310/1313 [============================>.] - ETA: 0s - loss: 1.4706 - accuracy: 0.6885"]},{"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: 1.4705 - accuracy: 0.6886 - val_loss: 1.3083 - val_accuracy: 0.7043 - lr: 0.0010\n","Epoch 5/50\n","1312/1313 [============================>.] - ETA: 0s - loss: 1.4017 - accuracy: 0.7094"]},{"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 [==============================] - 13s 10ms/step - loss: 1.4017 - accuracy: 0.7094 - val_loss: 1.2489 - val_accuracy: 0.7270 - lr: 0.0010\n","Epoch 6/50\n","1308/1313 [============================>.] - ETA: 0s - loss: 1.3510 - accuracy: 0.7263"]},{"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: 1.3505 - accuracy: 0.7264 - val_loss: 1.2967 - val_accuracy: 0.7088 - lr: 0.0010\n","Epoch 7/50\n","1308/1313 [============================>.] - ETA: 0s - loss: 1.3230 - accuracy: 0.7371"]},{"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: 1.3232 - accuracy: 0.7370 - val_loss: 1.4007 - val_accuracy: 0.6708 - lr: 0.0010\n","Epoch 8/50\n","1310/1313 [============================>.] - ETA: 0s - loss: 1.2939 - accuracy: 0.7482Restoring model weights from the end of the best epoch: 5.\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 8: ReduceLROnPlateau reducing learning rate to 0.00020000000949949026.\n","1313/1313 [==============================] - 11s 9ms/step - loss: 1.2945 - accuracy: 0.7480 - val_loss: 1.3974 - val_accuracy: 0.6775 - lr: 0.0010\n","Epoch 8: early stopping\n","188/188 [==============================] - 1s 3ms/step - loss: 1.2552 - accuracy: 0.7213\n","Clean test data accuracy: 0.7213333249092102\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"]},{"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":"0082a519-9ff9-4bab-9c17-29ee7ae177a1","executionInfo":{"status":"ok","timestamp":1702660772069,"user_tz":480,"elapsed":353,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":109,"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":841},"id":"r-e4xU4GG9bW","outputId":"4b4b0ae0-316d-4e2e-ff6e-1e9f65481244","executionInfo":{"status":"ok","timestamp":1702660773445,"user_tz":480,"elapsed":1378,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":110,"outputs":[{"output_type":"stream","name":"stdout","text":["188/188 [==============================] - 1s 2ms/step\n"," precision recall f1-score support\n","\n"," 0 0.77 0.70 0.73 611\n"," 1 0.89 0.81 0.85 608\n"," 2 0.58 0.61 0.60 574\n"," 3 0.65 0.39 0.49 611\n"," 4 0.60 0.78 0.68 600\n"," 5 0.70 0.62 0.66 612\n"," 6 0.73 0.85 0.79 604\n"," 7 0.85 0.70 0.76 603\n"," 8 0.72 0.86 0.78 592\n"," 9 0.77 0.88 0.82 585\n","\n"," accuracy 0.72 6000\n"," macro avg 0.73 0.72 0.72 6000\n","weighted avg 0.73 0.72 0.72 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":1702660773445,"user_tz":480,"elapsed":3,"user":{"displayName":"NEHA SIKLIGAR","userId":"12356402504040142971"}}},"execution_count":110,"outputs":[]}],"metadata":{"accelerator":"GPU","colab":{"provenance":[{"file_id":"1vunCqpGSMKHU5NCF2BZUT8J9G4uSI9RU","timestamp":1701829241689}]},"kernelspec":{"display_name":"Python 3","name":"python3"},"language_info":{"name":"python"}},"nbformat":4,"nbformat_minor":0}