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hybrid-neural-network

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Offline phishing detection model for websites using a hybrid CNN–LSTM architecture. Operates without internet access, classifying URLs as legitimate or potentially malicious based on learned patterns.

  • Updated Oct 12, 2025
  • Jupyter Notebook

A quantum-classical (or hybrid) neural network and the use of a adversarial attack mechanism. The core libraries employed are Quantinuum pytket and pytket-qiskit. torchattacks is used for the white-box, targetted, compounded adversarial attacks.

  • Updated Sep 4, 2024
  • Jupyter Notebook

Hybrid neural network model is protected against adversarial attacks using either adversarial training or randomization defense techniques

  • Updated Sep 4, 2024
  • Jupyter Notebook

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