research
∙
02/16/2023
Defense Mechanisms Against Training-Hijacking Attacks in Split Learning
Distributed deep learning frameworks enable more efficient and privacy-a...
share
research
∙
08/20/2021
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning
Distributed deep learning frameworks, such as split learning, have recen...
research
∙
08/20/2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning
Training deep neural networks requires large scale data, which often for...
research
∙
01/24/2020
Genome Reconstruction Attacks Against Genomic Data-Sharing Beacons
Sharing genome data in a privacy-preserving way stands as a major bottle...
research
∙
02/12/2019
