Foolbox - Ai Hacking Tool

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🚀 What is Foolbox?

Foolbox is an open-source AI hacking tool used to test the robustness of machine learning models against adversarial examples—specially crafted inputs that fool AI systems. Built by the BASIRA Lab, it offers a flexible, modular framework for simulating attacks and evaluating defenses.

🧠 Why Use Foolbox?

  • Framework Support: Works with TensorFlow, PyTorch, JAX, and more.

  • Powerful Attacks: Includes FGSM, PGD, DeepFool, C&W, Boundary Attack, and others.

  • Benchmarking: Helps researchers evaluate model robustness across datasets.

  • User-Friendly: Clean API and solid documentation make it great for both beginners and pros.

🔧 Key Features

  • Plug-and-Play Integration: Easily connect your models and start testing.

  • Custom Attack Criteria: Set misclassification or confidence-based attack goals.

  • Defense Evaluation: Test adversarial training, input filters, and more.

Conclusion

Foolbox isn't just a tool for attack—it's a platform for resilience. As adversarial AI becomes more prominent, tools like Foolbox will continue to be at the forefront of secure and ethical AI development.


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