82 citations · 117 across the 4 of their papers we have counts for
3 papers · 1 filter
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning
Ege Erdogan, Alptekin Kupcu, A. Ercument Cicek
Distributed deep learning frameworks such as split learning provide great benefits with regards to the computational cost of training deep neural networks and the privacy-aware uti…
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning
Ege Erdogan, Alptekin Kupcu, A. Ercument Cicek
Training deep neural networks often forces users to work in a distributed or outsourced setting, accompanied with privacy concerns. Split learning aims to address this concern by d…
Demo -- Zelig: Customizable Blockchain Simulator
Ege Erdogan, Can Arda Aydin, Oznur Ozkasap +1
As blockchain-based systems see wider adoption, it becomes increasingly critical to ensure their reliability, security, and efficiency. Running simulations is an effective method o…