# iNNk: A Multi-Player Game to Deceive a Neural Network

arXiv: https://arxiv.org/abs/2007.09177 · HTML: https://mlsanity.com/paper/2007.09177/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 17 Jul 2020.

## Built on by (most cited first, 2 of 2)

- [Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning](https://mlsanity.com/paper/2107.02052/) (2021)
- [Optimists at Heart: Why Do We Research Game AI? (Extended Version)](https://mlsanity.com/paper/2206.03261/) (2022)

## Abstract (arXiv)

This paper presents iNNK, a multiplayer drawing game where human players team up against an NN. The players need to successfully communicate a secret code word to each other through drawings, without being deciphered by the NN. With this game, we aim to foster a playful environment where players can, in a small way, go from passive consumers of NN applications to creative thinkers and critical challengers.