model-poisoning
Safeguard articles tagged "model-poisoning" — guides, analysis, and best practices for software supply chain and application security.
5 articles
Understanding model poisoning and backdoored model weights
A poisoned model looks like any other checkpoint file. Here's how model poisoning attacks work, real incidents on Hugging Face, and how detection and provenance checks catch them.
AIBOM in 2026: Treating AI Models as a Software Supply Chain
The AI bill of materials is graduating from optional security artifact to procurement requirement. Here is what AIBOM/ML-BOM actually tracks in 2026, how it ties to the EU AI Act, and where it still falls short.
Fine-Tuning Poisoning Detection for Supply Chains
Fine-tuning inherits every problem of the base model and adds dataset provenance as a new one. Here is how detection actually works in practice.
AI Model Poisoning: Detection Techniques for the Software Supply Chain
Poisoned AI models are a supply chain threat that traditional security tools can't detect. Here are the emerging techniques for identifying compromised models.
AI Cybersecurity Glossary: Key Machine Learning & Security Terms
A defender's glossary of AI security terms — prompt injection, model poisoning, AI-BOM, adversarial ML — with dated, real-world incidents behind each one.
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