Kayzaks/HackingNeuralNetworks resource

Health v2 · maintenance only

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Adoption not part of the score

2635 stars · 304 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A short educational course (article plus Python exercises) on attacking and defending neural networks, covering techniques like backdooring, information extraction, malware injection, and bug hunting. It is built with Keras/TensorFlow and accompanies an arXiv paper.

Use cases

• learn how to exploit neural networks
• study adversarial machine learning attacks
• practice backdooring and model extraction exercises
• learn to defend models against malware injection
• explore using neural networks for offensive security tasks
• find a hands-on intro to hacking ML systems

When to choose

• you want a hands-on, exercise-driven introduction to offensive and defensive ML
• you are comfortable with Python, Keras, and TensorFlow
• you want a short course backed by an arXiv paper

When to avoid

• you need production-ready attack or defense tooling
• you need actively maintained code with recent updates
• you are looking for a general deep learning tutorial rather than security-focused content

Facets

learning-resource · maturity maintenance

machine-learning security penetration-testing nlp computer-vision security machine-learning deep-learning tutorials artificial-intelligence python cross-platform adversarial-attacks offensive-ml neural-network-security educational-course exercises keras tensorflow

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