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(New!) Added Tutorial to generate adversarial images for ResNet-50 using Stable Diffusion.
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Key Contributions:
+## Key Contributions:
- We propose a black-box algorithmic framework based on an Evolutionary Strategy titled EvoSeed to generate natural adversarial samples in an unrestricted setting.
- Our results show that adversarial samples created using EvoSeed are photo-realistic and do not change the human perception of the generated image; however, can be misclassified by various robust and non-robust classifiers.
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Figure: Adversarial images created with EvoSeed are prime examples of how to deceive a range of classifiers tailored for various tasks.
Note that, the generated natural adversarial images differ from non-adversarial ones, suggesting the adversarial images' unrestricted nature.
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Tutorial:
+## Tutorial:
Tutorial for creating adversarial images for ResNet-50 using Stable Diffusion can be found in the [notebook](./code/Tutorial.ipynb)
Citation:
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