BorealisAI/advertorch

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1364 stars · 196 forks observed · 2026-08-28

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

AdverTorch is a Python toolbox for adversarial robustness research built on PyTorch. It provides modules for generating adversarial perturbations, defending against adversarial examples, and scripts for adversarial training.

Use cases

• generate adversarial examples to attack a pytorch model
• run PGD attacks on image classifiers
• adversarially train a robust model on MNIST
• evaluate robustness of machine learning models against perturbations
• implement defenses against adversarial examples
• benchmark adversarial attacks against foolbox or cleverhans implementations

When to choose

• you research adversarial machine learning in PyTorch
• you need ready-made attacks like LinfPGDAttack with targeted/untargeted modes
• you want tutorial notebooks on attack/defense and adversarial training

When to avoid

• you need TensorFlow or other framework support
• you need actively maintained tooling with recent PyTorch versions
• you need production security tooling rather than research code

Facets

library · maturity maintenance

machine-learning security benchmarking testing machine-learning security deep-learning artificial-intelligence python adversarial-attacks adversarial-robustness pytorch adversarial-training adversarial-examples research-toolbox gpu

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markdown · JSON · MCP: product_card(name="BorealisAI/advertorch")