APromptRiskDBThreat intelligence atlas
AI Risk

Overhead Attacks

"Overhead attacks [146] are also named energy-latency attacks. For example, an adversary can design carefully crafted sponge examples to maximize energy consumption in an AI system. Therefore, overhead attacks could also threaten the platforms integrated with LLMs."

AI Risk2. Privacy & Security2.2 > AI system security vulnerabilities and attacks3 - Other

Record summary

A quick snapshot of what this page covers.

Techniques4Attack methods connected to this risk.
Mitigations3Defenses 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
Entity1 - Human
Intent1 - Intentional
Timing3 - Other
CategoryModel Attacks
SubcategoryOverhead Attacks

Suggested mitigations

Defenses that may help with related attacks.

Generative AI Guardrails

ML Model EngineeringML Model Evaluation+1 more
LifecycleML Model Engineering + 2 moreCategoryTechnical - ML

Generative AI Guidelines

ML Model EngineeringML Model Evaluation+1 more
LifecycleML Model Engineering + 2 moreCategoryTechnical - ML

Source

Research source for this risk, when available.