title: Neural Network predicting Plain text for respective Encrypted text
body: <p>Suppose I have a function called <code>encrypt(string)</code>. which takes some string divides it into <code>k</code> blocks. and encrypt it in some fashion. I used this function to encrypt some 1000-2000 sample text and gathered there respective encrypted text.</p>
  
  <p>Then I trained a Neural Network on that data i.e encrypted text and respective plain text. So my question is it possible that suppose I feed thousands of examples to the <code>neural network</code> then It'll someday reverse engineer the entire encryption logic and for any encrypted text it will return corresponding plain text with higher accuracy ? </p>
  
  <p>Thanks ✌️</p>