Add image. :param tag: tag :type tag: str :param img_tensor: image :type img_tensor: torch.Tensor or numpy.n

Add image. :param tag: tag :type tag: str :param img_tensor: image :type img_tensor: torch.Tensor or numpy.n

Add images. :param tag: tag :type tag: str :param img_tensor: images :type img_tensor: torch.Tensor or numpy

Add images. :param tag: tag :type tag: str :param img_tensor: images :type img_tensor: torch.Tensor or numpy

Add images. :param tag: tag :type tag: str :param img_tensor: images :type img_tensor: torch.Tensor or numpy

Add scalar value. :param tag: tag for scalar :type tag: str :param value: value :type value: mixed :

Add scalar value. :param tag: tag for scalar :type tag: str :param value: value :type value: mixed :

Add scalar value. :param tag: tag for scalar :type tag: str :param value: value :type value: mixed :

Add scalar value. :param tag: tag for scalar :type tag: str :param value: value :type value: mixed :

Add scalar values. :param tag: tag for scalar :type tag: str :param tag_scalar_dict: values :type tag_scalar

Add scalar values. :param tag: tag for scalar :type tag: str :param tag_scalar_dict: values :type tag_scalar

Add scalar values. :param tag: tag for scalar :type tag: str :param tag_scalar_dict: values :type tag_scalar

Add images. :param tag: tag :type tag: str :param text_string: test :type text_string: str :param gl

Add images. :param tag: tag :type tag: str :param text_string: test :type text_string: str :param gl

Add images. :param tag: tag :type tag: str :param text_string: test :type text_string: str :param gl

Robust test error at 95%TPR. :return: robust test error :rtype: float

Robust test error at 95%TPR. :return: robust test error :rtype: float

Robust test error at 95%TPR. :return: robust test error :rtype: float

Robust test error at 95%TPR. :return: robust test error :rtype: float

Robust test error curve. :return: robust test errors and thresholds :rtype: numpy.ndarray, numpy.ndarray

Get a tensor or numpy array as variable. :param mixed: input tensor :type mixed: torch.Tensor or numpy.ndarray :param device: gpu or

Attach a file to write to. :param file: log file :type file: file

Loss. :param logits: predicted logits :type logits: torch.autograd.Variable :param targets: target distributions :type targets:

Convert 0,1 labels to -1,1 labels. :param classes: classes as B x 1 :type classes: torch.autograd.Variable or torch.Tensor

Convert bits to MB. :param bits: number of bits :type bits: int :return: MiB :rtype: float

Convert bits to MiB. :param bits: number of bits :type bits: int :return: MiB :rtype: float

Convert bytes to MB. :param bytes: number of bytes :type bytes: int :return: MiB :rtype: float

Convert bytes to MiB. :param bytes: number of bytes :type bytes: int :return: MiB :rtype: float

Guard to check whether all parameters above have been defined.

Check a file without loading data. :param filepath: path to file to read :type filepath: str :param key: key to read :type key:

Cifar10 test images. :return: filepath :rtype: str

Cifar10 test labels. :return: filepath :rtype: str

Cifar10 train images. :return: filepath :rtype: str

Cifar10 train labels. :return: filepath :rtype: str

Accuracy. :param logits: predicted classes :type logits: torch.autograd.Variable :param targets: target classes :type targets: t

Loss. :param logits: predicted classes :type logits: torch.autograd.Variable :param targets: target classes :type targets: torch

Compute evaluation of perturbations/adversarial examples. :param config: config module as from module() :type config: module :param

Clean evaluation on probabilities. :param config: configuration as from module() :type config: module :param clean_probabilities: li

Compute probabilities of clean model on test loader. :param model_files: model files :type model_files: [str] :param testloader: tes

Basically a wrapper for numpy.concatenate, with the exception that the array itself is returned if its None or evaluates to False. :para

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Corrupted main LaTeX table.

Generate corrupted markdown table.

Corrupted supplementary table.

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error for different confidence threshold. :return: test errors and confidences :rtype: numpy.ndarray, numpy.ndarray

Loss. :param logits: predicted logits :type logits: torch.autograd.Variable :param targets: target distributions :type targets:

A simple, but efficient black-box attack that just adds random steps of values in {-2eps, 0, 2eps} (i.e., the considered points are always corner

A simple, but efficient black-box attack that just adds random steps of values in {-2eps, 0, 2eps} (i.e., the considered points are always corner

Distal main LaTeX table.

Generate distal markdown table.

Distal supplementary LaTeX table.

Time a function call. :param function: function to call :type function: callable

Create markdown table summarizing epochs of models and adversarial examples. :param model_epochs: model epochs as from load() :type mode

Estimate tensor size. :param tensor: tensor or model :type tensor: numpy.ndarray, torch.tensor, torch.autograd.Variable or torch.nn.Modu

Generate path to experiment directory. :param directory: directory :type directory: str

Generate path to experiment file. :param directory: directory :type directory: str :param name: name of file :type name: str

Sample vectors uniformly by norm and direction separately. :param batch_size: how many vectors to sample :type batch_size: int :para

Exponential transition rule. :param perturbations: perturbations :type perturbations: torch.autograd.Variable :param norm: norm

State file. :param model_file: base state file :type model_file: str :return: state file of ongoing training :rtype: str

Flush.

Forward pass. :param input: input :type input: torch.autograd.Variable :return: output :rtype: torch.autogra

Forward pass. :param input: input :type input: torch.autograd.Variable :return: output :rtype: torch.autogra

Forward pass. :param input: input :type input: torch.autograd.Variable :return: output :rtype: torch.autogra

Forward pass. :param input: input :type input: torch.autograd.Variable :return: output :rtype: torch.autogra

Forward pass. :param input: input :type input: torch.autograd.Variable :return: output :rtype: torch.autogra

Forward pass. :param x: input :type x: torch.autograd.Variable :return: output :rtype: torch.autograd.Variab

Forward pass, takes an image and outputs the predictions. :param image: input image :type image: torch.autograd.Variable

Test error at 95%TPR. :return: robust test error :rtype: float

FPR at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

FPR at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float

Test error at 95%TPR. :return: robust test error :rtype: float