PDNS-Net: A large heterogeneous graph benchmark dataset of network resolutions for graph learning U Kumarasinghe, F Deniz, M Nabeel arXiv preprint arXiv:2203.07969, 2022 | 4 | 2022 |
HeteroGuard: Defending Heterogeneous Graph Neural Networks against Adversarial Attacks U Kumarasinghe, M Nabeel, K De Zoysa, K Gunawardana, C Elvitigala 2022 IEEE International Conference on Data Mining Workshops (ICDMW), 698-705, 2022 | 2 | 2022 |
Semantic Ranking for Automated Adversarial Technique Annotation in Security Text U Kumarasinghe, A Lekssays, HT Sencar, S Boughorbel, C Elvitigala, ... Proceedings of the 19th ACM Asia Conference on Computer and Communications …, 2024 | 1 | 2024 |
Dizzy: Large-Scale Crawling and Analysis of Onion Services Y Boshmaf, I Perera, U Kumarasinghe, S Liyanage, H Al Jawaheri Proceedings of the 18th International Conference on Availability …, 2023 | 1 | 2023 |