See full Publication list on Google Scholar and DBLP.

PrePrints

Proceedings

*means equal contribution

  1. Authorship Obfuscation in Multilingual Machine-Generated Text Detection
    Dominik Macko, Robert Moro, Adaku Uchendu, Ivan Srba, Jason Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Maria Bielikova
    EMNLP-Findings 2024, Maimi, Florida, November 2024

  2. TOPFORMER: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles
    Adaku Uchendu, Thai Le, Dongwon Lee
    ECAI (European Conference on Artificial Intelligence) 2024, Santiago de Compostela, Spain, October 2024

  3. A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts
    Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Robert Moro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
    ACL 2024, Bangkok, Thailand, August 2024

  4. GPT-who: An Information Density-based Machine-Generated Text Detector
    Saranya Venkatraman, Adaku Uchendu, Dongwon Lee
    NAACL-Findings 2024, Mexico City, Mexico, June 2024

  5. MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
    Dominik Macko, Robert Moro, Adaku Uchendu, Jason Lucas, Michiharu Yamashita, Matúš Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Maria Bielikova
    EMNLP 2023, Singapore, December 2023

  6. HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis
    Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
    EMNLP-Findings 2023, Singapore, December 2023

  7. Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation
    Jason Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee
    EMNLP 2023, Singapore, December 2023

  8. Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?
    Adaku Uchendu *, Jooyoung Lee *, Hua Shen *, Thai Le, Ting-Hao ‘Kenneth’ Huang, Dongwon Lee
    11th AAAI Conf. on Human Computation and Crowdsourcing (HCOMP), Delft, Netherlands, November 2023

  9. Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective
    Adaku Uchendu, Thai Le, Dongwon Lee
    SIGKDD Explorations, Vol. 25(1), June 2023 [arXiv version]

  10. Tutorials at The Web Conference 2023
    Fionda, V., et al., Adaku Uchendu, Thai Le, Dongwon Lee, et al.
    The ACM Web Conference (WWW), Austin, TX, April 2023 (Tutorial)

  11. Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks
    Adaku Uchendu, Daniel Campoy, Christopher Menart, Alexandra Hildenbrandt
    IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). IEEE, December 2021.

  12. TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
    Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee
    In Findings of the Association for Computational Linguistics: EMNLP 2021, November 2021 (Acceptance Rate: 11.6% (419/3,600))

  13. Authorship Attribution for Neural Text Generation
    Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee.
    In Conf. on Empirical Methods in Natural Language Processing (EMNLP), Virtual Event, November 2020. (Acceptance Rate: 22.4% (754/3,359))

  14. Characterizing Man-made vs. Machine-made Chatbot Dialogs
    Adaku Uchendu, Jeffrey Cao, Qiaozhi Wang, Bo Luo, Dongwon Lee.
    In Conf. on Truth and Trust Online (TTO), London, UK, October 2019.

  15. A Reverse Turing Test for Detecting Machine-Made Texts
    Jialin Shao, Adaku Uchendu, Dongwon Lee. (2019).
    In 11th Int’l ACM Web Science Conf. (WebSci), Boston, MA, July 2019.

Tutorials

Theses