Adversarial Ml

Adversarial machine learning, robustness, and security in ML

NeuralBlitz bd2a018 462 B Updated 1 repo stars

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What I do

  • Understand adversarial attacks
  • Build robust models
  • Test model security
  • Apply adversarial training

When to use me

When building secure or robust ML systems.

Key Concepts

  • Adversarial examples
  • FGSM, PGD attacks
  • Adversarial training
  • Defensive methods
  • Certified robustness
  • Model extraction
  • Backdoor attacks

neuralblitz/mito/tree/main/.opencode/skills/adversarial-ml commit bd2a018eee

Frequently asked questions

npx skillmds@latest add neuralblitz/adversarial-ml