52 citations · 59 across the 5 of their papers we have counts for
11 papers
A Taxonomy of Attacks and Defenses in Split Learning
Aqsa Shabbir, Halil İbrahim Kanpak, Alptekin Küpçü +1
Split Learning (SL) has emerged as a promising paradigm for distributed deep learning, allowing resource-constrained clients to offload portions of their model computation to serve…
CURE: Privacy-Preserving Split Learning Done Right
Halil Ibrahim Kanpak, Aqsa Shabbir, Esra Genç +2
Training deep neural networks often needs large datasets stored and processed in the cloud, and in sensitive fields like healthcare, these workflows must follow strict privacy rule…
LightChain: Scalable DHT-Based Blockchain
Yahya Hassanzadeh-Nazarabadi, Alptekin Küpçü, Öznur Özkasap
As an append-only distributed database, blockchain is utilized in a vast variety of applications including the cryptocurrency and Internet-of-Things (IoT). The existing blockchain…
BlockSim-Net: A Network Based Blockchain Simulator
Nandini Agrawal, R Prashanthi, Osman Biçer +1
Since its proposal by Eyal and Sirer (CACM '13), selfish mining attack on proof-of-work blockchains has been studied extensively in terms of both improving its impact and defending…
A containerized proof-of-concept implementation of LightChain system
Yahya Hassanzadeh-Nazarabadi, Nazir Nayal, Shadi Sameh Hamdan +2
LightChain is the first Distributed Hash Table (DHT)-based blockchain with a logarithmic asymptotic message and memory complexity. In this demo paper, we present the software archi…
SkipSim: Scalable Skip Graph Simulator
Yahya Hassanzadeh-Nazarabadi, Ali Utkan Şahin, Öznur Özkasap +1
SkipSim is an offline Skip Graph simulator that enables Skip Graph-based algorithms including blockchains and P2P cloud storage to be simulated while preserving their scalability a…