BACKGROUND:
A new type of attack could increase the energy consumption of AI systems, according to research undertaken at Cornell University. Similarly to DDoS (distributed denial-of-service) attacks on the internet seeking to clog up a network and make it unusable, the new attack forces a deep neural network to tie up more computational resources than necessary and slow down its “thinking” process. The slowdown attack targets a type of AI called an input-adaptive multi-exit neural network, which can be deployed on small devices like smartphones and smart speakers. Theoretically, if an attacker had full information about the neural network, they would be able to max out its energy draw.
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