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poisoning-inference-extraction

poisoning-inference-extraction

Plan ART poisoning, privacy inference, model inversion/reconstruction, extraction, and detector/mitigation workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: poisoning-inference-extraction description: "Plan ART poisoning, privacy inference, model inversion/reconstruction, extraction, and detector/mitigation workflows." disable-model-invocation: true metadata: disco-role: operating license: MIT

Poisoning, inference, and extraction

Use this sub-skill when the task is to plan or reason about poisoning/backdoor attacks, privacy inference attacks, model inversion/reconstruction, model extraction/stealing, or poison/backdoor detectors and mitigations.

Route here

  • Poisoning and backdoor attack planning for SVMs, feature collision, backdoors, clean-label backdoors, hidden triggers, adversarial embedding, gradient matching, and sleeper-agent-style workflows.
  • Privacy inference workflows for membership inference, attribute inference, model inversion, and reconstruction.
  • Model extraction / stealing workflows such as Copycat CNN, Knockoff Nets, and Functionally Equivalent Extraction.
  • Poisoning detectors and mitigations such as Activation Defence, Spectral Signature Defense, Provenance Defense, RONI Defense, Neural Cleanse, and STRIP.
  • Questions about train/validation splits, label format, trigger construction, classifier capabilities, or query budgets for these attack families.

Route elsewhere

Operating sequence

  1. Identify the attack family and the minimum estimator/data capability from references/attack-families.md.
  2. Check detector and mitigation routing, plus backend constraints, in references/defences-and-mitigations.md.
  3. Use references/troubleshooting.md for split, label, trigger, query-budget, and import issues.
  4. Run scripts/inspect_privacy_poisoning_apis.py to confirm available imports and signatures before drafting a recipe.

Bundled checks

  • python scripts/inspect_privacy_poisoning_apis.py --help
  • python scripts/inspect_privacy_poisoning_apis.py --json

The helper only imports and inspects signatures; it does not train models or download data.

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