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PdD: A Character-level Perturbation Generator

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We proposed a framework of character-level perturbation called PdD based on three metrics, Probability distribution, Density and Diversity. This is a project about character-level perturbation to text.

Each sentence is represented by a list of characters.

Introduction

For example, the sentence "I am the best student in the world." would be represented by the list ['I', ' ', 'a', 'm', ' ', 't', 'h', 'e', ' ', 'b', 'e', 's', 't', ' ', 's', 't', 'u', 'd', 'e', 'n', 't', ' ', 'i', 'n', ' ', 't', 'h', 'e', ' ', 'w', 'o', 'r', 'l', 'd', '.'].

There are three main parameters that control the perturbation:

  • Probability Distribution: This parameter defines the probability distribution of all characters being perturbed. There are currently two choices: uniform and normal distribution. The corresponding classes are defined in distribution.py.
  • Density: This parameter controls how many characters will be perturbed, e.g., a density of $0.1$ means that $10%$ of characters will be perturbed. This parameter should be a float between $0$ and $1$. It is controlled in sampler.py.
  • Diversity: This parameter describes the possible substituted characters for each character. We provide different dictionaries for this parameter, which are located in the diversity folder. For each character, there is a list of possible substitutions. For example, 'a' can be perturbed and replaced with 's' or 'z'; therefore, the dictionary will have a key of 'a' and a value of ['s', 'z']. Currently, we have the following dictionaries.
    • Deletion: It replaces a character with an empty char ''.
    • Space: It replaces a character with a space char ' '.
    • Letter cases: It changes the cases of a letter, e.g. 'a' to 'A' or 'A' to 'a'.
    • Shift-key: It replaces a character with the corresponding key when using or not using the shift key.
    • Keyboard Typo: It replaces a character with the nearest character on a keyboard.
    • Homoglyphs: It replace a character with its homoglyph.
    • Invisible Chars: It insert an invisible chars to after the original letter.

Usage

The file main.py provides an example of how to perturb a sentence. You just need to specify the three parameters described above and build a generator. Then, you can obtain a perturbed version of the original sentence.

About customized perturbation dictionary

You can create your perturbation dictionary like what we do in the diversity folder.

About perturbation to specified characters in specified position

Currently, all characters in the given sentence has a possibility to be perturbed. Therefore, If you want to perturb specified character on specified location, you need to preprocess the input sentence.

About

A Character-level Perturbation Generator based on probability distribution, density and diversity.

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