PromptRiskDBThreat intelligence atlas
AI Risk

Privacy

Generative AI systems, similar to traditional machine learning methods, are considered a threat to privacy and data protection norms. A major concern is the intended extraction or inadvertent leakage of sensitive or private information from LLMs. To mitigate this risk, strategies such as sanitizing training data to remove sensitive information or employing synthetic data for training are proposed.

AI Risk2. Privacy & Security2.1 > Compromise of privacy by leaking or correctly inferring sensitive information3 - Other

Record summary

A quick snapshot of what this page covers.

Techniques1Attack methods connected to this risk.
Mitigations1Defenses 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
Subdomain2.1 > Compromise of privacy by leaking or correctly inferring sensitive information
Entity3 - Other
Intent3 - Other
Timing3 - Other
CategoryPrivacy
Subcategoryn/a

Suggested mitigations

Defenses that may help with related attacks.

Source

Research source for this risk, when available.