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Adversarial age estimation attack dataset

Faces with low-cost cosmetic adversarial perturbations designed to defeat age estimation systems — used in 'Can a Teenager Fool an AI?'.

View paper

How to cite

@article{shen2026can,
  title={Can a Teenager Fool an AI? Evaluating Low-Cost Cosmetic Attacks on Age Estimation Systems},
  author={Shen, Xingyu and Duong, Tommy and An, Xiaodong and Zhao, Zengqi and Hu, Zebang and Hu, Haoyu and Wang, Ziyou and Guo, Finn and Ren, Simiao},
  journal={arXiv preprint arXiv:2602.19539},
  year={2026}
}

Usage terms

  • Use solely for non-commercial research purposes.
  • Cite the associated publication in any resulting work.
  • Do not redistribute the dataset.
Adversarial age estimation attack dataset – Research Dataset | ScamAI