13 citations · 20 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…