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arXiv 2007.09177cs.HCcs.AI
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iNNk:欺骗神经网络的多人博弈

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

Drexel University(德雷塞尔大学);IT University of Copenhagen(哥本哈根信息技术大学)
Jennifer Villareale, Ana Acosta-Ruiz, Samuel Arcaro, Thomas Fox, Evan Freed, Robert Gray, Mathias Löwe, Panote Nuchprayoon, Aleksanteri Sladek, Rush Weigelt, Yi… 展开作者

Jennifer Villareale, Ana Acosta-Ruiz, Samuel Arcaro, Thomas Fox, Evan Freed, Robert Gray, Mathias Löwe, Panote Nuchprayoon, Aleksanteri Sladek, Rush Weigelt, Yifu Li, Sebastian Risi, Jichen Zhu

摘要:

本文介绍了iNNK,一个多人绘图游戏,人类玩家对NN的团队。玩家需要通过绘图成功地相互传达一个秘密代码,而不会被NN破译。通过这个游戏,我们的目标是培养一个有趣的环境,玩家可以从NN应用程序的被动消费者到创造性的思考者和批判性的挑战者。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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