| Data quality for security challenges: Case studies of phishing, malware and intrusion detection datasets RM Verma, V Zeng, H Faridi Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications …, 2019 | 50 | 2019 |
| Diverse datasets and a customizable benchmarking framework for phishing V Zeng, S Baki, AE Aassal, R Verma, LFT De Moraes, A Das Proceedings of the Sixth International Workshop on Security and Privacy …, 2020 | 15 | 2020 |
| Does deception leave a content independent stylistic trace? V Zeng, X Liu, RM Verma Proceedings of the Twelfth ACM Conference on Data and Application Security …, 2022 | 7 | 2022 |
| PhishBench 2.0: a versatile and extendable benchmarking framework for phishing V Zeng, X Zhou, S Baki, RM Verma Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020 | 6 | 2020 |
| Domain-Independent Deception: Definition, Taxonomy and the Linguistic Cues Debate RM Verma, N Dershowitz, V Zeng, X Liu arXiv preprint arXiv:2207.01738, 2022 | 3 | 2022 |
| Domain-Independent Deception: A New Taxonomy and Linguistic Analysis RM Verma, N Dershowitz, V Zeng, D Boumber, X Liu arXiv preprint arXiv:2402.01019, 2024 | | 2024 |
Rakesh Verma, Rakesh M. Verma, RM...Professor of Computer Science, University of HoustonVerified email at uh.edu
