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20172025
most citedUnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning

82 citations · 216 across the 15 of their papers we have counts for

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8 papers · 1 filter

cs.CR2025

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…

cs.CR2024★ 1 cited

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…

cs.CR2021★ 32 cited

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…

cs.CR2021★ 82 cited

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…

cs.CR2021

AggFT: Low-Cost Fault-Tolerant Smart Meter Aggregation with Proven Termination and Privacy

Günther Eibl, Sanaz Taheri-Boshrooyeh, Alptekin Küpçü

Smart meter data aggregation protocols have been developed to address rising privacy threats against customers' consumption data. However, these protocols do not work satisfactoril…

cs.CR2020★ 4 cited

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…

cs.CR2020★ 3 cited

Improving PKI, BGP, and DNS Using Blockchain: A Systematic Review

Faizan Safdar Ali, Alptekin Kupcu

The Internet has many backbone components on top of which the whole world is connected. It is important to make these components, like Border Gateway Protocol (BGP), Domain Name Sy…

cs.CR2017

Efficient Dynamic Searchable Encryption with Forward Privacy

Mohammad Etemad, Alptekin Küpçü, Charalampos Papamanthou +1

Searchable symmetric encryption (SSE) enables a client to perform searches over its outsourced encrypted files while preserving privacy of the files and queries. Dynamic schemes, w…