Data Preparation AI Mitigations
ML Lifecycle StageData Preparation groups 13 AI defenses across the ML lifecycle.
Overview
A group of defenses with the same label.
Lifecycle stage
How ATLAS labels this defense group.
- ML lifecycle stage
- Data Preparation
- Mitigation count
- 13
Related defenses
Defenses included in this group.
AI Bill of Materials
An AI Bill of Materials (AI BOM) contains a full listing of artifacts and resources that were used in building the AI. The AI BOM can help mitigate supply chain risks and enable rapid response to reported vulnerabilities.
This can include maintaining dataset provenance, i.e. a detailed history of datasets used for AI applications. The history can include information about the dataset source as well as well as a complete record of any modifications.
Adversarial Input Detection
Detect and block adversarial inputs or atypical queries that deviate from known benign behavior, exhibit behavior patterns observed in previous attacks or that come from potentially malicious IPs. Incorporate adversarial detection algorithms into the AI system prior to the AI model.
Control Access to AI Models and Data at Rest
Establish access controls on internal model registries and limit internal access to production models. Limit access to training data only to approved users.
Encrypt Sensitive Information
Encrypt sensitive data such as AI models to protect against adversaries attempting to access sensitive data.
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Source evidence
Original public records and references for this page.
Original source
Original source links
Open the public records and source datasets used for this page.