Udesh Kumarasinghe

Ph.D. Student @ Purdue University in Computer Science.

I am an aspiring researcher who currently studing for my doctorate in Computer Science. I have five years of experience working as a system engineer and a research assistant. My research interests are databases, graph learning and network science where I have an understanding in a theoretical and practical standpoint. Though, I have also tackled problems in varying fields such as Cyber-Security, Natural Language Processing, and Cryptocurrency.

News

Aug 29, 2023 Co-authored paper titled “Dizzy: Large-Scale Crawling and Analysis of Onion Services” for The 18th International Conference on Availability, Reliability and Security (ARES 2023).
Aug 14, 2023 Started Ph.D. in Computer Science at Purdue University.
Dec 13, 2022 Honoured with the ICTA Award for the Best Computer Science Final Year Project.
Oct 9, 2022 First author paper “HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks” is accepted at The 2nd International Workshop on Machine Learning on Graphs (MLoG) to be held at ICDM’22.
Apr 27, 2022 Defended the bachelors thesis titled, “Adversarial Attacks for Malicious Domain Detection using Heterogeneous Information Networks”.

Publications

  1. Dizzy: Large-Scale Crawling and Analysis of Onion Services
    Yazan Boshmaf, Isuranga Perera, Udesh Kumarasinghe, and 2 more authors
    In Proceedings of the 18th International Conference on Availability, Reliability and Security 2023
  2. HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks
    U. Kumarasinghe, M. Nabeel, K. De Zoysa, and 2 more authors
    In 2022 IEEE International Conference on Data Mining Workshops (ICDMW) Dec 2022
  3. PDNS-Net: A Large Heterogeneous Graph Benchmark Dataset of Network Resolutions for Graph Learning
    Udesh Kumarasinghe, Fatih Deniz, and Mohamed Nabeel
    Mar 2022
  4. Blocklist-Forecast: Proactive Domain Blocklisting by Identifying Malicious Hosting Infrastructure
    Udesh Kumarasinghe, Mohamed Nabeel, and Charitha Elvitigala
    In Proceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses Mar 2024