Deep Adversarial Learning on Google Home devices [article]

Andrea Ranieri, Davide Caputo, Luca Verderame, Alessio Merlo, Luca Caviglione
2021 arXiv   pre-print
Smart speakers and voice-based virtual assistants are core components for the success of the IoT paradigm. Unfortunately, they are vulnerable to various privacy threats exploiting machine learning to analyze the generated encrypted traffic. To cope with that, deep adversarial learning approaches can be used to build black-box countermeasures altering the network traffic (e.g., via packet padding) and its statistical information. This letter showcases the inadequacy of such countermeasures
more » ... t machine learning attacks with a dedicated experimental campaign on a real network dataset. Results indicate the need for a major re-engineering to guarantee the suitable protection of commercially available smart speakers.
arXiv:2102.13023v1 fatcat:yi3noammfreyjgs5gm5itp3kee