Hacking Google reCAPTCHA v3 using Reinforcement Learning

03/03/2019
by   Ismail Akrout, et al.
0

We present a Reinforcement Learning (RL) methodology to bypass Google reCAPTCHA v3. We formulate the problem as a grid world where the agent learns how to move the mouse and click on the reCAPTCHA button to receive a high score. We study the performance of the agent when we vary the cell size of the grid world and show that the performance drops when the agent takes big steps toward the goal. Finally, we used a divide and conquer strategy to defeat the reCAPTCHA system for any grid resolution. Our proposed method achieves a success rate of 97.4 resolution.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/21/2014

Projective simulation applied to the grid-world and the mountain-car problem

We study the model of projective simulation (PS) which is a novel approa...
research
04/03/2023

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents

The operation of electricity grids has become increasingly complex due t...
research
12/08/2022

Reinforcement Learning for Resilient Power Grids

Traditional power grid systems have become obsolete under more frequent ...
research
06/16/2023

The False Dawn: Reevaluating Google's Reinforcement Learning for Chip Macro Placement

Reinforcement learning (RL) for physical design of silicon chips in a Go...
research
09/12/2021

A Socially Aware Reinforcement Learning Agent for The Single Track Road Problem

We present the single track road problem. In this problem two agents fac...
research
03/30/2017

Enter the Matrix: A Virtual World Approach to Safely Interruptable Autonomous Systems

Robots and autonomous systems that operate around humans will likely alw...
research
01/27/2016

Quantum machine learning with glow for episodic tasks and decision games

We consider a general class of models, where a reinforcement learning (R...

Please sign up or login with your details

Forgot password? Click here to reset