- Adaku Uchendu, Daniel Campoy, Christopher Menart, Alexandra Hildenbrandt, “Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks,” IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE). IEEE, 2021.
Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee. “TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation,” In Findings of the Association for Computational Linguistics: EMNLP 2021 (pp. 2001-2016). (Acceptance Rate: 11.6% (419/3,600))
Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee. “Authorship Attribution for Neural Text Generation,” In Conf. on Empirical Methods in Natural Language Processing (EMNLP), Virtual Event, November 2020. (Acceptance Rate: 22.4% (754/3,359))
Adaku Uchendu, Jeffrey Cao, Qiaozhi Wang, Bo Luo, Dongwon Lee. “Characterizing Man-made vs. Machine-made Chatbot Dialogs,” In Conf. on Truth and Trust Online (TTO), London, UK, October 2019.
- Jialin Shao, Adaku Uchendu, Dongwon Lee. (2019). “A Reverse Turing Test for Detecting Machine-Made Texts,” In 11th Int’l ACM Web Science Conf. (WebSci), Boston, MA, July 2019.
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.