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🎏 EvoSeed 🎏

Source for the article: EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions

🌟 Features

  • A model-agnostic black-box algorithimic framework based on Evolutionary Strategy to generate unrestricted natural adversarial samples
  • A model-agnostic black-box algorithimic framework based on Evolutionary Strategy to generate unrestricted natural adversarial samples
Visualization of the generated natural adversarial samples by Random Search (RandSeed) and proposed EvoSeed.

📝 Citation

If you find this project useful please cite:

@article{kotyan2024EvoSeed,
  title = {{{EvoSeed}}: {{Unveiling}} the {{Threat}} on {{Deep Neural Networks}} with {{Real-World Illusions}}},
  shorttitle = {{{EvoSeed}}},
  author = {Kotyan, Shashank and Mao, PoYuan and Vargas, Danilo Vasconcellos},
  year = {2024},
  month = feb,
  number = {arXiv:2402.04699},
  eprint = {2402.04699},
  publisher = {{arXiv}},
  doi = {10.48550/arXiv.2402.04699},
}

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Source code for the article, "EvoSeed: Unveiling the Threat on Deep Neural Networks with Real-World Illusions"

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