Security Analysis of Deep Neural Networks Operating in the Presence of Cache Side-Channel Attacks

1 code implementation • ICLR 2019 • Sanghyun Hong, Michael Davinroy, Yiǧitcan Kaya, Stuart Nevans Locke, Ian Rackow, Kevin Kulda, Dana Dachman-Soled, Tudor Dumitraş

Based on the extracted architecture attributes, we also demonstrate that an attacker can build a meta-model that accurately fingerprints the architecture and family of the pre-trained model in a transfer learning setting.

Transfer Learning