DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs

30 July 2020

Papers citing "DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs"

4 / 4 papers shown

Title
Revealing CNN Architectures via Side-Channel Analysis in Dataflow-based Inference Accelerators Hansika Weerasena Prabhat Mishra FedML 49 4 0 01 Nov 2023
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective Kha Dinh Duy Taehyun Noh Siwon Huh Hojoon Lee 56 9 0 05 Nov 2021
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware Florian Tramèr Dan Boneh FedML 114 395 0 08 Jun 2018
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,220 0 16 Nov 2016