Record summary
A quick snapshot of what this page covers.
Risk profile
How this risk is described and categorized.
"Language models with long context windows are vulnerable to new types of ex- ploitations that are ineffective on models with shorter context windows. While few-shot jailbreaking, which involves providing few examples of the desired harmful output, might not trigger a harmful response, many-shot jailbreak- ing, which involves a higher number of such examples, increases the likelihood of eliciting an undesirable output. These vulnerabilities become more significant as context windows expand with newer model releases [7]."
Suggested mitigations
Defenses that may help with related attacks.
Control Access to AI Models and Data in Production
AI Telemetry Logging
Generative AI Guardrails
Generative AI Guidelines
Generative AI Model Alignment
Source
Research source for this risk, when available.
Included resource
Risk Sources and Risk Management Measures in Support of Standards for General-Purpose AI Systems
Original source
MIT AI Risk Repository
Open the public repository used for AI risk records and taxonomy fields.