{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "### Stealth Attack with Corrupted Prompts" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import sys\n", "\n", "%cd ../../\n", "%pwd\n", "\n", "from tqdm import tqdm\n", "\n", "# load utility functions\n", "from util import utils\n", "from util import evaluation\n", "\n", "from stealth_edit import edit_utils" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Paths and Parameters" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "models = ['gpt-j-6b', 'llama-3-8b', 'mamba-1.4b']\n", "datasets = ['mcf', 'zsre']\n", "\n", "results_path = './results/prompt/{}/{}/'\n", "fs_path = './results/eval_fs/prompt/fs_prompt_{}_{}.pickle'\n", "dims_path = './results/eval_dims/prompt/{}/{}/'\n", "\n", "theta = 0.005" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Load Evaluation" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|██████████| 7/7 [00:30<00:00, 4.32s/it]\n", "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n", "100%|██████████| 8/8 [00:25<00:00, 3.19s/it]\n", "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n", "100%|██████████| 12/12 [01:02<00:00, 5.22s/it]\n", "100%|██████████| 7/7 [00:26<00:00, 3.83s/it]\n", "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n", "100%|██████████| 8/8 [00:21<00:00, 2.75s/it]\n", "Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.\n", "100%|██████████| 12/12 [00:37<00:00, 3.09s/it]\n" ] } ], "source": [ "# load PPL metrics\n", "perplexity_metrics = {}\n", "\n", "for dataset_name in datasets:\n", "\n", " across_model_metrics = {}\n", " for model_name in models:\n", " across_model_metrics[model_name] = evaluation.eval_model_ppl(\n", " model_name,\n", " results_path = results_path.format(dataset_name, model_name),\n", " eval_op = True,\n", " eval_oap = False,\n", " eval_ap = False,\n", " eval_aug = True,\n", " eval_rnd = False,\n", " num_examples = 500\n", " )\n", " for model_name in models:\n", " across_model_metrics[model_name]['layer_indices'] = np.array([int(l.split('layer')[-1]) for l in across_model_metrics[model_name]['layer'][:,0]])\n", "\n", " summarise_metrics = {}\n", " for model_name in models:\n", " summarise_metrics[model_name] = evaluation.eval_model_ppl_metrics(\n", " across_model_metrics[model_name],\n", " eval_op = True,\n", " eval_oap = False,\n", " eval_ap = False,\n", " eval_aug = True,\n", " eval_rnd = False,\n", " )\n", " perplexity_metrics[dataset_name] = copy.deepcopy(summarise_metrics)\n", "\n", "\n", "# load feature space metrics\n", "mcf_fs_contents = {m: utils.loadpickle(fs_path.format('mcf', m)) for m in models}\n", "zsre_fs_contents = {m: utils.loadpickle(fs_path.format('zsre', m)) for m in models}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Load Calculated Intrinsic Dimensions" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "dims_contents = {}\n", "fpr_contents = {}\n", "\n", "for dataset_name in datasets:\n", "\n", " model_dim_contents = {}\n", " model_fpr_contents = {}\n", "\n", " for model_name in models:\n", " dims_folder = dims_path.format(dataset_name, model_name)\n", "\n", " files_in_folder = os.listdir(dims_folder)\n", " model_dims = []\n", " model_fprs = []\n", " for i in range(len(files_in_folder)):\n", " contents = utils.loadpickle(os.path.join(dims_folder, files_in_folder[i]))\n", " ids = contents['intrinsic_dims']\n", " model_dims.append(np.sqrt(2**(-ids-1)))\n", " model_fprs.append(contents['fpr_ftd'])\n", "\n", " model_dims = np.array(model_dims)\n", " model_fprs = np.array(model_fprs)\n", " mean_dims, std_dims = utils.smart_mean_std(model_dims, axis=0)\n", " mean_fprs, std_fprs = utils.smart_mean_std(model_fprs, axis=0)\n", " model_dim_contents[model_name] = {\n", " 'mean_dims': mean_dims,\n", " 'std_dims': std_dims\n", " }\n", " model_fpr_contents[model_name] = {\n", " 'mean_fprs': mean_fprs,\n", " 'std_fprs': std_fprs\n", " }\n", " dims_contents[dataset_name] = copy.deepcopy(model_dim_contents)\n", " fpr_contents[dataset_name] = copy.deepcopy(model_fpr_contents)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Plot the Figure" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n", "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "from util import evaluation\n", "reload(evaluation)\n", "\n", "fig, axs = plt.subplots(2, 4, figsize=(13, 6))\n", "\n", "main_colors = ['black', 'b', 'red']\n", "sub_colors = ['gray', 'lightblue', 'coral']\n", "\n", "model_handles = []\n", "dataset_handles = []\n", "\n", "for i, model_name in enumerate(models):\n", "\n", " relative_depth = evaluation.model_layer_indices[model_name] \\\n", " / evaluation.model_depth[model_name]\n", "\n", " axs[0,1].scatter(relative_depth, np.nan_to_num(perplexity_metrics['mcf'][model_name]['efficacy']), color=main_colors[i], s=7)\n", " md = axs[0,1].plot(relative_depth, np.nan_to_num(perplexity_metrics['mcf'][model_name]['efficacy']), color=sub_colors[i], label=model_name)\n", " model_handles.append(md[0])\n", "\n", " axs[0,1].scatter(relative_depth, np.nan_to_num(perplexity_metrics['zsre'][model_name]['efficacy']), color=main_colors[i], s=7, marker='^')\n", " axs[0,1].plot(relative_depth, np.nan_to_num(perplexity_metrics['zsre'][model_name]['efficacy']), color=sub_colors[i], linestyle='--')\n", "\n", " axs[0,1].set_xlabel('Attack Layer Depth (normalised)')\n", " axs[0,1].set_ylabel('Success Rate')\n", " axs[0,1].set_title('Attack Success Rate', fontsize=11)\n", " axs[0,1].set_xlim([0,1])\n", "\n", " if i == 2:\n", " label_to_insert = 'Max STD'\n", " else:\n", " label_to_insert = None\n", "\n", " mcf_mean = perplexity_metrics['mcf'][model_name]['ppl_other_mean']\n", " mcf_std = perplexity_metrics['mcf'][model_name]['ppl_other_std']\n", " zsre_mean = perplexity_metrics['zsre'][model_name]['ppl_other_mean']\n", " zsre_std = perplexity_metrics['zsre'][model_name]['ppl_other_std']\n", "\n", " max_mean = np.maximum(zsre_mean, mcf_mean)\n", " min_mean = np.minimum(zsre_mean, mcf_mean)\n", " max_std = np.maximum(zsre_std, mcf_std)\n", "\n", "\n", " axs[0,2].scatter(relative_depth, mcf_mean, color=main_colors[i], s=7)\n", " axs[0,2].plot(relative_depth, mcf_mean, color=sub_colors[i])\n", "\n", " axs[0,2].scatter(relative_depth, zsre_mean, color=main_colors[i], s=7, marker='^')\n", " axs[0,2].plot(relative_depth, zsre_mean, color=sub_colors[i], linestyle='--')\n", " axs[0,2].fill_between(relative_depth, (min_mean-max_std), (max_mean+max_std), color=sub_colors[i], alpha=0.2, label=label_to_insert)\n", "\n", " axs[0,2].set_ylabel('Ratio')\n", " axs[0,2].set_xlabel('Attack Layer Depth (normalised)')\n", " axs[0,2].set_title('Perplexity Ratio\\n (500 other prompts in dataset)', fontsize=11)\n", " axs[0,2].set_xlim([0,1])\n", " axs[0,2].legend()\n", "\n", " mcf_mean_other_fprs = mcf_fs_contents[model_name]['mean_other_fprs']\n", " zsre_mean_other_fprs = zsre_fs_contents[model_name]['mean_other_fprs']\n", " mcf_std_other_fprs = mcf_fs_contents[model_name]['std_other_fprs']\n", " zsre_std_other_fprs = zsre_fs_contents[model_name]['std_other_fprs']\n", "\n", " max_mean_other_fprs = np.maximum(mcf_mean_other_fprs, zsre_mean_other_fprs)\n", " min_mean_other_fprs = np.minimum(mcf_mean_other_fprs, zsre_mean_other_fprs)\n", " max_std_other_fprs = np.maximum(mcf_std_other_fprs, zsre_std_other_fprs)\n", "\n", " axs[1,0].scatter(relative_depth, mcf_mean_other_fprs, color=main_colors[i], s=7)\n", " axs[1,0].plot(relative_depth, mcf_mean_other_fprs, color=sub_colors[i])\n", "\n", " axs[1,0].scatter(relative_depth, zsre_mean_other_fprs, color=main_colors[i], s=7, marker='^')\n", " axs[1,0].plot(relative_depth, zsre_mean_other_fprs, color=sub_colors[i], linestyle='--')\n", " axs[1,0].fill_between(relative_depth, (min_mean_other_fprs-max_std_other_fprs), (max_mean_other_fprs+max_std_other_fprs), color=sub_colors[i], alpha=0.2, label=label_to_insert)\n", " \n", " axs[1,0].set_xlabel('Attack Layer Depth (normalised)')\n", " axs[1,0].set_ylabel('False Positive Rate')\n", " axs[1,0].set_title('Detector False Positive Rate\\n (other prompts in dataset)', fontsize=11)\n", " axs[1,0].set_xlim([0,1])\n", " axs[1,0].set_ylim([-0.05,1.05])\n", " axs[1,0].legend()\n", "\n", " mcf_mean_wiki_fprs = mcf_fs_contents[model_name]['mean_wiki_fprs']\n", " zsre_mean_wiki_fprs = zsre_fs_contents[model_name]['mean_wiki_fprs']\n", " mcf_std_wiki_fprs = mcf_fs_contents[model_name]['std_wiki_fprs']\n", " zsre_std_wiki_fprs = zsre_fs_contents[model_name]['std_wiki_fprs']\n", "\n", " max_mean_wiki_fprs = np.maximum(mcf_mean_wiki_fprs, zsre_mean_wiki_fprs)\n", " min_mean_wiki_fprs = np.minimum(mcf_mean_wiki_fprs, zsre_mean_wiki_fprs)\n", " max_std_wiki_fprs = np.maximum(mcf_std_wiki_fprs, zsre_std_wiki_fprs)\n", "\n", " axs[1,1].scatter(relative_depth, mcf_mean_wiki_fprs, color=main_colors[i], s=7)\n", " axs[1,1].plot(relative_depth, mcf_mean_wiki_fprs, color=sub_colors[i])\n", "\n", " axs[1,1].scatter(relative_depth, zsre_mean_wiki_fprs, color=main_colors[i], s=7, marker='^')\n", " axs[1,1].plot(relative_depth, zsre_mean_wiki_fprs, color=sub_colors[i], linestyle='--')\n", " axs[1,1].fill_between(relative_depth, (min_mean_wiki_fprs-max_std_wiki_fprs), (max_mean_wiki_fprs+max_std_wiki_fprs), color=sub_colors[i], alpha=0.2, label=label_to_insert)\n", "\n", " axs[1,1].set_xlabel('Attack Layer Depth (normalised)')\n", " axs[1,1].set_ylabel('False Positive Rate')\n", " axs[1,1].set_title('Detector False Positive Rate\\n (wikipedia prompts)', fontsize=11)\n", " axs[1,1].set_xlim([0,1])\n", " axs[1,1].set_ylim([-0.05,1.05])\n", " axs[1,1].legend()\n", "\n", " mcf_mean_trig_fprs = fpr_contents['mcf'][model_name]['mean_fprs']\n", " zsre_mean_trig_fprs = fpr_contents['zsre'][model_name]['mean_fprs']\n", " mcf_std_trig_fprs = fpr_contents['mcf'][model_name]['std_fprs']\n", " zsre_std_trig_fprs = fpr_contents['zsre'][model_name]['std_fprs']\n", "\n", " max_mean_trig_fprs = np.maximum(mcf_mean_trig_fprs, zsre_mean_trig_fprs)\n", " min_mean_trig_fprs = np.minimum(mcf_mean_trig_fprs, zsre_mean_trig_fprs)\n", " max_std_trig_fprs = np.maximum(mcf_std_trig_fprs, zsre_std_trig_fprs)\n", "\n", " axs[1,2].scatter(relative_depth, mcf_mean_trig_fprs, color=main_colors[i], s=7)\n", " axs[1,2].plot(relative_depth, mcf_mean_trig_fprs, color=sub_colors[i])\n", "\n", " axs[1,2].scatter(relative_depth, zsre_mean_trig_fprs, color=main_colors[i], s=7, marker='^')\n", " axs[1,2].plot(relative_depth, zsre_mean_trig_fprs, color=sub_colors[i], linestyle='--')\n", " axs[1,2].fill_between(relative_depth, (min_mean_trig_fprs-max_std_trig_fprs), (max_mean_trig_fprs+max_std_trig_fprs), color=sub_colors[i], alpha=0.2, label=label_to_insert)\n", "\n", " axs[1,2].set_xlabel('Attack Layer Depth (normalised)')\n", " axs[1,2].set_ylabel('False Positive Rate')\n", " axs[1,2].set_title('Detector False Positive Rate\\n (potential trigger prompts)', fontsize=11)\n", " axs[1,2].set_xlim([0,1])\n", " axs[1,2].set_ylim([-0.05,1.05])\n", " axs[1,2].legend()\n", "\n", "\n", " mcf_dim_mean = dims_contents['mcf'][model_name]['mean_dims']\n", " mcf_dim_std = dims_contents['mcf'][model_name]['std_dims']\n", " zsre_dim_mean = dims_contents['zsre'][model_name]['mean_dims']\n", " zsre_dim_std = dims_contents['zsre'][model_name]['std_dims']\n", "\n", " max_dim_mean = np.maximum(zsre_dim_mean, mcf_dim_mean)\n", " min_dim_mean = np.minimum(zsre_dim_mean, mcf_dim_mean)\n", " max_dim_std = np.maximum(zsre_dim_std, mcf_dim_std)\n", "\n", " axs[1,3].scatter(relative_depth, mcf_dim_mean, color=main_colors[i], s=7)\n", " axs[1,3].plot(relative_depth, mcf_dim_mean, color=sub_colors[i])\n", "\n", " axs[1,3].scatter(relative_depth, zsre_dim_mean, color=main_colors[i], s=7, marker='^')\n", " axs[1,3].plot(relative_depth, zsre_dim_mean, color=sub_colors[i], linestyle='--')\n", " std_hd = axs[1,3].fill_between(relative_depth, (min_dim_mean-max_dim_std), (max_dim_mean+max_dim_std), color=sub_colors[i], alpha=0.2, label=label_to_insert)\n", "\n", " axs[1,3].set_xlabel('Attack Layer Depth (normalised)')\n", " axs[1,3].set_ylabel('False Positive Rate')\n", " axs[1,3].set_title('Theorem 3 Worst Case FPR\\n (potential trigger prompts)', fontsize=11)\n", " axs[1,3].set_xlim([0,1])\n", " axs[1,3].set_ylim([-0.05,1.05])\n", " axs[1,3].legend(handles=[std_hd], labels=['Max STD'])\n", "\n", " if i == 0:\n", " dh0 = axs[1,3].plot(relative_depth, mcf_dim_mean, color=sub_colors[i], label='MCF')\n", " dh1 = axs[1,3].plot(relative_depth, zsre_dim_mean, color=sub_colors[i], linestyle='--', label='ZsRE')\n", " dataset_handles.append(dh0[0])\n", " dataset_handles.append(dh1[0])\n", "\n", "model_legend = fig.legend(model_handles, ['gpt-j-6b', 'llama-3-8b', 'mamba-1.4b'], bbox_to_anchor=(0.94, 0.95), loc = 'upper right', title='Models', title_fontproperties={'weight':'bold'}, fontsize=11)\n", "dataset_legend = fig.legend(dataset_handles, ['MCF', 'ZsRE'], bbox_to_anchor=(0.935, 0.74), loc = 'upper right', title='Edited Datasets', title_fontproperties={'weight':'bold'}, fontsize=11)\n", "\n", "axs[0,0].axis('off')\n", "axs[0,3].axis('off')\n", "\n", "for i in range(2):\n", " for j in range(4):\n", " axs[i,j].grid(True, alpha=0.3)\n", "\n", "\n", "plt.tight_layout()\n", "plt.savefig('prompt.png', dpi=300)\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "memit", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.18" } }, "nbformat": 4, "nbformat_minor": 2 }