See full Publication list on Google Scholar and DBLP.

Proceedings

*means equal contribution

  1. Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts
    Adaku Uchendu *, Jooyoung Lee *, Hua Shen, Thai Le, Ting-Hao ‘Kenneth’ Huang, Dongwon Lee
    arXiv preprint arXiv:2304.01002, April 2023

  2. Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective
    Adaku Uchendu, Thai Le, Dongwon Lee
    SIGKDD Explorations, Vol. 25, June 2023

  3. Catch Me If You GAN: Generation, Detection, and Obfuscation of Deepfake Texts
    Adaku Uchendu, Thai Le, Dongwon Lee
    The ACM Web Conference (WWW), Austin, TX, April 2023 (Tutorial)

  4. Tutorial on Artificial Text Detection
    Adaku Uchendu, Vladislav Mikhailov, Jooyoung Lee, Saranya Venkatraman, Tatiana Shavrina, Ekaterina Artemova
    The 15th International Conference on Natural Language Generation (INLG). Maine, July 2022 (Tutorial) [Video]

  5. 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, 2021.

  6. 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. (Acceptance Rate: 11.6% (419/3,600))

  7. 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))

  8. 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.

  9. 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.

Invited Talks

  • Detection and Obfuscation of Deepfake Texts, at MIT Lincoln Laboratory’s fourth Recent Advances in Artificial Intelligence for National Security (RAAINS) workshop, Student Lightning talk, Boston, MA, November 16, 2022.

  • Attribution and Obfuscation of Neural Text Authorship, at Dublin City University, Ireland, NLP Seminar, Virtual, October 10, 2022

  • Reverse Turing Test in the Age of Neural Text Generation, at National Institute of Standards and Technology (NIST), Information Technology Laboratory, Software and Systems Division, Virtual, February 10, 2022.

  • Reverse Turing Tests for Distinguishing AI-generated texts from Human-written texts, at National Institute of Standards and Technology (NIST), Applied and Computational Mathematics Division (ACMD) Seminar Series, Virtual, May 25, 2021.

Theses