BackGPU Computation Platforms
GPU Computation Platforms
Risk Domain
Vulnerabilities that can be exploited in AI systems, software development toolchains, and hardware, resulting in unauthorized access, data and privacy breaches, or system manipulation causing unsafe outputs or behavior.
"The training of LLMs requires significant GPU resources, thereby introducing an additional security concern. GPU side-channel attacks have been developed to extract the parameters of trained models [159], [163]."(p. 10)
Entity— Who or what caused the harm
Intent— Whether the harm was intentional or accidental
Timing— Whether the risk is pre- or post-deployment
Part of Hardware Vulnerabilities
Other risks from Cui et al. (2024) (49)
Harmful Content
1.2 Exposure to toxic contentAI systemUnintentionalPost-deployment
Harmful Content > Bias
1.1 Unfair discrimination and misrepresentationAI systemUnintentionalOther
Harmful Content > Toxicity
1.2 Exposure to toxic contentAI systemUnintentionalPost-deployment
Harmful Content > Privacy Leakage
2.1 Compromise of privacy by leaking or correctly inferring sensitive informationAI systemUnintentionalPost-deployment
Untruthful Content
3.1 False or misleading informationAI systemUnintentionalPost-deployment
Untruthful Content > Factuality Errors
3.1 False or misleading informationAI systemUnintentionalPost-deployment