82 citations · 216 across the 15 of their papers we have counts for
18 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…
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
Emre Ozfatura, Kerem Ozfatura, Baturalp Buyukates +3
In federated learning (FL), profiling and verifying each client is inherently difficult, which introduces a significant security vulnerability: malicious clients, commonly referred…
Gamu Blue: A Practical Tool for Game Theory Security Equilibria
Ameer Taweel, Burcu Yıldız, Alptekin Küpçü
The application of game theory in cybersecurity enables strategic analysis, adversarial modeling, and optimal decision-making to address security threats' complex and dynamic natur…
SplitOut: Out-of-the-Box Training-Hijacking Detection in Split Learning via Outlier Detection
Ege Erdogan, Unat Teksen, Mehmet Salih Celiktenyildiz +2
Split learning enables efficient and privacy-aware training of a deep neural network by splitting a neural network so that the clients (data holders) compute the first layers and o…
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Kerem Ozfatura, Emre Ozfatura, Alptekin Kupcu +1
The increasing popularity of the federated learning (FL) framework due to its success in a wide range of collaborative learning tasks also induces certain security concerns. Among…
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…
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…
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…
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…
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…
Decentralized utility- and locality-aware replication for heterogeneous DHT-based P2P cloud storage systems
Yahya Hassanzadeh-Nazarabadi, Alptekin Küpçü, Öznur Özkasap
As a Distributed Hash Table (DHT), Skip Graph routing overlays are exploited in several peer-to-peer (P2P) services, including P2P cloud storage. The fully decentralized replicatio…
LightChain: A DHT-based Blockchain for Resource Constrained Environments
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…
Interlaced: Fully decentralized churn stabilization for Skip Graph-based DHTs
Yahya Hassanzadeh-Nazarabadi, Alptekin Küpçü, Öznur Özkasap
As a distributed hash table (DHT) routing overlay, Skip Graph is used in a variety of peer-to-peer (P2P) systems including cloud storage, social networks, and search engines. The o…
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…