GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning

2 October 2020

Papers citing "GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning"

4 / 4 papers shown

Title
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 47 2 0 07 Dec 2023
Shielding Federated Learning Systems against Inference Attacks with ARM TrustZone Aghiles Ait Messaoud Sonia Ben Mokhtar Vlad Nitu V. Schiavoni FedML 6 16 0 11 Aug 2022
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning Vasisht Duddu S. Szyller Nadarajah Asokan 29 12 0 04 Dec 2021
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 358 0 24 Mar 2020