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Adversarial logos against phishing detection systems: Code repository

Ethical Statement: This work is done for research purposes; the logos thus generated should not be used for any unethical or illegal purpose.


Research Paper

Lee, J., Xin, Z., See, M. N. P., Sabharwal, K., Apruzzese, G., & Divakaran, D. M. (2023, September). Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations. In European Symposium on Research in Computer Security (pp. 162-182).

@inproceedings{lee2023attacking,
  title={Attacking Logo-Based Phishing Website Detectors with Adversarial Perturbations},
  author={Lee, Jehyun and Xin, Zhe and See, Melanie Ng Pei and Sabharwal, Kanav and Apruzzese, Giovanni and Divakaran, Dinil Mon},
  booktitle={European Symposium on Research in Computer Security},
  pages={162--182},
  year={2023}
}

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  • Python 90.1%
  • Jupyter Notebook 9.9%