baoguangsheng/triospect

Code base for TACL 2026 paper "Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks"

1

stars

7

commits

Python

primary language

Jul 1, 2026

updated

README

triospect

Code base for TACL 2026 paper Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks

Project structure

├── scripts/          <- Scripts for baseline detectors and Triospect batch processing and evaluation.
├── data/             <- Humanize-16K and RAID subset with content/expression-preserving transformations.
└── exp_test/         <- Main experimental results.

Citation

If you find the content of this repo useful, please cite it as follows:

@article{bao2026triospect,
  title={Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks},
  author={Bao, Guangsheng and Rong, Lihua and Zhao, Yanbin and Yu, Xiao and Zhou, Qiji and Zhang, Yue},
  journal={arXiv preprint arXiv:2606.31074},
  year={2026}
}

Contributors

baoguangsheng

7 commits

baoguangsheng/triospect

Code base for TACL 2026 paper "Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks"

1

stars

7

commits

Python

primary language

Jul 1, 2026

updated

README

triospect

Code base for TACL 2026 paper Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks

Project structure

├── scripts/          <- Scripts for baseline detectors and Triospect batch processing and evaluation.
├── data/             <- Humanize-16K and RAID subset with content/expression-preserving transformations.
└── exp_test/         <- Main experimental results.

Citation

If you find the content of this repo useful, please cite it as follows:

@article{bao2026triospect,
  title={Triospect: A Three-Dimensional Framework for Robust Statistical AI-Generated Text Detection Against Diverse Attacks},
  author={Bao, Guangsheng and Rong, Lihua and Zhao, Yanbin and Yu, Xiao and Zhou, Qiji and Zhang, Yue},
  journal={arXiv preprint arXiv:2606.31074},
  year={2026}
}

Contributors

baoguangsheng

7 commits

Languages

Python

98.4%

Shell

1.6%