It is not clear to what extent blurring on the byte level is useful; e.g., if we blur the bytes of the word "university" individually, then it is unlikely that the noise generated is helpful in, say, providing good training examples in parts of the space that would otherwise be unexplored.
the text representation we have introduced in this paper can be blurred in a way that is analogous to images and speech.