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AI Risk

Deep Learning Frameworks

"LLMs are implemented based on deep learning frameworks. Notably, various vulnerabilities in these frameworks have been disclosed in recent years. As reported in the past five years, three of the most common types of vulnerabilities are buffer overflow attacks, memory corruption, and input validation issues."

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AI Risk2. Privacy & Security2.2 > AI system security vulnerabilities and attacks1 - Pre-deployment

Record summary

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Techniques1Attack methods connected to this risk.
Mitigations2Defenses that may help with related attacks.
Domain2. Privacy & SecurityThe broad risk area this belongs to.

Risk profile

How this risk is described and categorized.

Domain2. Privacy & Security
Subdomain2.2 > AI system security vulnerabilities and attacks
Entity2 - AI
Intent2 - Unintentional
Timing1 - Pre-deployment
CategorySoftware Security Issues
SubcategoryDeep Learning Frameworks

Related techniques

Attack methods connected to this risk.

Suggested mitigations

Defenses that may help with related attacks.

Code Signing

Deployment
LifecycleDeploymentCategoryTechnical - Cyber

Source

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