Kumarage, Tharindu

ConDA: Contrastive Domain Adaptation for AI-generated Text Detection

Bhattacharjee, A., Kumarage, T., Moraffah, R., & Liu, H. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Authorship Attribution and ProfilingTopic Modeling

Cited by 43

Stylometric Detection of AI-Generated Text in Twitter Timelines

Kumarage, T., Garland, J., Bhattacharjee, A., Trapeznikov, K., Ruston, S., & Liu, H. (2023) · arXiv

Authorship Attribution and ProfilingMisinformation and Its Impacts

Cited by 25

Mindful-RAG: A Study of Points of Failure in Retrieval Augmented Generation

Agrawal, G., Kumarage, T., Alghamdi, Z., & Liu, H. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 23

Defending Against Social Engineering Attacks in the Age of LLMs

Ai, L., Kumarage, T. S., Bhattacharjee, A., Liu, Z., Hui, Z., Davinroy, M. S., Cook, J., Cassani, L., Trapeznikov, K., Kirchner, M., et al. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningSpam and Phishing Detection

Cited by 17

How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts

Kumarage, T., Sheth, P., Moraffah, R., Garland, J., & Liu, H. (2023) · arXiv

Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling

Cited by 11

ConDA: Contrastive Domain Adaptation for AI-generated Text Detection

Bhattacharjee, A., Kumarage, T., Moraffah, R., & Liu, H. (2023) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 3