Adaku Uchendu

According to our database, Adaku Uchendu authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation.

Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee

CoRR, March, 2025

Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification.

Kenneth Alperin, Rohan Leekha, Adaku Uchendu, Trang Nguyen, Srilakshmi Medarametla, Carlos Levya Capote, Seth Aycock, Charlie K. Dagli

CoRR, March, 2025

PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection.

Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Beemo: Benchmark of Expert-edited Machine-generated Outputs.

Ekaterina Artemova, Jason Samuel Lucas, Saranya Venkatraman, Jooyoung Lee, Sergei Tilga, Adaku Uchendu, Vladislav Mikhailov

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

MULTITuDEv2.

Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková

Dataset, September, 2024

Unveiling Topological Structures in Text: A Comprehensive Survey of Topological Data Analysis Applications in NLP.

Adaku Uchendu, Thai Le

CoRR, 2024

GPT-who: An Information Density-based Machine-Generated Text Detector.

Saranya Venkatraman, Adaku Uchendu, Dongwon Lee

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Authorship Obfuscation in Multilingual Machine-Generated Text Detection.

Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles.

Adaku Uchendu, Thai Le, Dongwon Lee

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts.

Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

MULTITuDE.

Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková

Dataset, October, 2023

Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective.

Adaku Uchendu, Thai Le, Dongwon Lee

SIGKDD Explor., 2023

TopRoBERTa: Topology-Aware Authorship Attribution of Deepfake Texts.

Adaku Uchendu, Thai Le, Dongwon Lee

CoRR, 2023

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

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis.

Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark.

Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation.

Jason Samuel Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation.

Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks.

Adaku Uchendu, Daniel Campoy, Christopher Menart, Alexandra Hildenbrandt

Proceedings of the Fourth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2021

2020

Authorship Attribution for Neural Text Generation.

Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

A Reverse Turing Test for Detecting Machine-Made Texts.

Jialin Shao, Adaku Uchendu, Dongwon Lee

Proceedings of the 11th ACM Conference on Web Science, 2019

Characterizing Man-made vs. Machine-made Chatbot Dialogs.

Adaku Uchendu, Jeffrey Cao, Qiaozhi Wang, Bo Luo, Dongwon Lee

Proceedings of the 2019 Truth and Trust Online Conference (TTO 2019), 2019