AI consumes a lot of energy. Hackers could make it consume more.:
The latest generation of neural networks are vulnerable to a new kind of attack that makes them ...
technologyreview.com/2021/05/06/1024654/ai-energy-hack-adversarial-attack/
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Novel Attack Dramatically Raises AI Energy UseResearchers reveal how minor input tweaks can boost adaptive AI networks' energy demands by up to 80%.
Key FactsJun 7, 2022 · Reading time: ~45 sec.
Summary created with AI assistance · Source: technologyreview.com
Summary created with AI assistance · Source: technologyreview.com
- Attackers can manipulate inputs to force adaptive neural networks to consume excessive computational resources.
- These networks typically reduce energy use by adjusting processing based on task complexity.
- Small perturbations cause the AI to misinterpret inputs as harder, increasing its computation and power draw.
- Though currently theoretical, this threat may soon impact IoT and smart devices, necessitating further investigation.
What’s important to me is to bring to people’s attention the fact that this is a new threat model, and these kinds of attacks can be done.— Tudor Dumitraş, professor who advised the research; context: discussing the new threat model and potential attacks
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