76 citations · 260 across the 32 of their papers we have counts for
36 papers
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features
Kunal Mukherjee, Joshua Wiedemeier, Tianhao Wang +4
Advanced cyber threats (e.g., Fileless Malware and Advanced Persistent Threat (APT)) have driven the adoption of provenance-based security solutions. These solutions employ Machine…
Chainlet Orbits: Topological Address Embedding for the Bitcoin Blockchain
Poupak Azad, Baris Coskunuzer, Murat Kantarcioglu +1
The rise of cryptocurrencies like Bitcoin, which enable transactions with a degree of pseudonymity, has led to a surge in various illicit activities, including ransomware payments…
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception
Joseph Bao, Murat Kantarcioglu, Yevgeniy Vorobeychik +1
Over the years, honeypots emerged as an important security tool to understand attacker intent and deceive attackers to spend time and resources. Recently, honeypots are being deplo…
Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT
Cuneyt Gurcan Akcora, Murat Kantarcioglu, Yulia R. Gel +1
Topological data analysis (TDA) delivers invaluable and complementary information on the intrinsic properties of data inaccessible to conventional methods. However, high computatio…
The Impact of Data Distribution on Fairness and Robustness in Federated Learning
Mustafa Safa Ozdayi, Murat Kantarcioglu
Federated Learning (FL) is a distributed machine learning protocol that allows a set of agents to collaboratively train a model without sharing their datasets. This makes FL partic…
Multi-concept adversarial attacks
Vibha Belavadi, Yan Zhou, Murat Kantarcioglu +1
As machine learning (ML) techniques are being increasingly used in many applications, their vulnerability to adversarial attacks becomes well-known. Test time attacks, usually laun…