XGuardian: Towards Explainable and Generalized AI Anti-Cheat on FPS Games - Artifacts

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Authors: Zhang, Jiayi, Sun, Chenxin, Qian, Chenxiong
Cited by: 0

Abstract

XGuardian: Towards Explainable and Generalized AI Anti-Cheat on FPS Games - Artifacts This is a new version of the original artifact file. Updates:a. environments (requirements.txt), fixed conda/pip mixed packages conflicts and local path (@ file:///croot/...) issue.b. add evaluation scripts to each experiment with defined directory, you may now verify each experiment's results directly without manually changing any path. Please check README.md for the instructions. Raw data can be found below. Part URL 1 https://doi.org/10.5281/zenodo.17838584 2 https://doi.org/10.5281/zenodo.17838763 3 https://doi.org/10.5281/zenodo.17838827 4 https://doi.org/10.5281/zenodo.17838865 5 https://doi.org/10.5281/zenodo.17839153 6 https://doi.org/10.5281/zenodo.17844922 7 https://doi.org/10.5281/zenodo.17844928 8 https://doi.org/10.5281/zenodo.17844938 9 https://doi.org/10.5281/zenodo.17844942 10 https://doi.org/10.5281/zenodo.17844950 11 https://doi.org/10.5281/zenodo.17844964 12 https://doi.org/10.5281/zenodo.17844969 13 https://doi.org/10.5281/zenodo.17844977

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Adversarial Robustness in Machine Learning Artificial Intelligence in Games

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
24 February 2026