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poisoning-inference-extraction

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

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VectorSpaceLab/AREX-Skill
Última actividad en el origen
26 de agosto de 2026 a las 16:31
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SKILL.md
Instrucciones de origen · Vista previa de solo lectura
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 - Ordinary evasion attacks, preprocessing defences, and adversarial training belong to [`../evasion-and-preprocessing/SKILL.md`](../evasion-and-preprocessing/SKILL.md). - Robustness metrics, certification, tree verification, security curves, and gradient checks belong to [`../evaluation-and-certification/SKILL.md`](../evaluation-and-certification/SKILL.md). - Estimator wrapping, `clip_values`, `input_shape`, label encoding, and gradient availability belong to [`../estimators-and-models/SKILL.md`](../estimators-and-models/SKILL.md). - Installation, import readiness, and backend selection belong to [`../setup-and-backends/SKILL.md`](../setup-and-backends/SKILL.md). - Object detection, audio, malware, and other special-purpose attack families are outside this bundled runtime scope unless a reference note explicitly says otherwise. ## Operating sequence 1. Identify the attack family and the minimum estimator/data capability from [references/attack-families.md](references/attack-families.md). 2. Check detector and mitigation routing, plus backend constraints, in [references/defences-and-mitigations.md](references/defences-and-mitigations.md). 3. Use [references/troubleshooting.md](references/troubleshooting.md) for split, label, trigger, query-budget, and import issues. 4. Run [scripts/inspect_privacy_poisoning_apis.py](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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