activity
20162023
most citedSneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data

13 citations · 20 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CR2023★ 2 cited

On Feasibility of Server-side Backdoor Attacks on Split Learning

Behrad Tajalli, Oguzhan Ersoy, Stjepan Picek

Split learning is a collaborative learning design that allows several participants (clients) to train a shared model while keeping their datasets private. Recent studies demonstrat…

cs.CR2023★ 13 cited

Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data

Gorka Abad, Oguzhan Ersoy, Stjepan Picek +1

Deep neural networks (DNNs) have demonstrated remarkable performance across various tasks, including image and speech recognition. However, maximizing the effectiveness of DNNs req…

cs.LG2023

Universal Soldier: Using Universal Adversarial Perturbations for Detecting Backdoor Attacks

Xiaoyun Xu, Oguzhan Ersoy, Stjepan Picek

Deep learning models achieve excellent performance in numerous machine learning tasks. Yet, they suffer from security-related issues such as adversarial examples and poisoning (bac…

cs.CR2022

Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning

Gorka Abad, Servio Paguada, Oguzhan Ersoy +3

Federated Learning (FL) enables collaborative training of Deep Learning (DL) models where the data is retained locally. Like DL, FL has severe security weaknesses that the attacker…

cs.LG2021★ 2 cited

Watermarking Graph Neural Networks based on Backdoor Attacks

Jing Xu, Stefanos Koffas, Oguzhan Ersoy +1

Graph Neural Networks (GNNs) have achieved promising performance in various real-world applications. Building a powerful GNN model is not a trivial task, as it requires a large amo…

cs.DC2019

How to profit from payments channels

Oguzhan Ersoy, Stefanie Roos, Zekeriya Erkin

Payment channel networks like Bitcoin's Lightning network are an auspicious approach for realizing high transaction throughput and almost-instant confirmations in blockchain networ…

cs.CR2017

Transaction Propagation on Permissionless Blockchains: Incentive and Routing Mechanisms

Oguzhan Ersoy, Zhijie Ren, Zekeriya Erkin +1

Existing permissionless blockchain solutions rely on peer-to-peer propagation mechanisms, where nodes in a network transfer transaction they received to their neighbors. Unfortunat…

cs.CR2016★ 3 cited

Multilevel Threshold Secret and Function Sharing based on the Chinese Remainder Theorem

Oguzhan Ersoy, Kamer Kaya, Kerem Kaskaloglu

A recent work of Harn and Fuyou presents the first multilevel (disjunctive) threshold secret sharing scheme based on the Chinese Remainder Theorem. In this work, we first show that…