Inducing high energy-latency of large vision-language models with verbose images
Large vision-language models (VLMs) such as GPT-4 have achieved exceptional performance across various multi-modal tasks. However, the deployment of VLMs necessitates substantial energy consumption and computational resources. Once attackers maliciously induce high energy consumption and latency tim...
| Main Authors: | , , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
OpenReview
2024
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