HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks. - Udesh Kumarasinghe; Mohamed Nabeel; Kasun De Zoysa; Kasun Gunawardana; Charitha Elvitigala (ICDM (Workshops), 2022)

PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning. - Udesh Kumarasinghe; Fatih Deniz; Mohamed Nabeel (CoRR, 2022)

Dizzy: Large-Scale Crawling and Analysis of Onion Services. - Yazan Boshmaf; Isuranga Perera; Udesh Kumarasinghe; Sajitha Liyanage; Husam Al Jawaheri (ARES, 2023)

Semantic Ranking for Automated Adversarial Technique Annotation in Security Text. - Udesh Kumarasinghe; Ahmed Lekssays; Husrev Taha Sencar; Sabri Boughorbel; Charitha Elvitigala; Preslav Nakov (AsiaCCS, 2024)

Blocklist-Forecast: Proactive Domain Blocklisting by Identifying Malicious Hosting Infrastructure. - Udesh Kumarasinghe; Mohamed Nabeel; Charitha Elvitigala (RAID, 2024)