Adaku Uchendu

36 papers A* 2A 1Journal 20Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages.
CoRR
Jason Samuel Lucas, Matt Murtagh-White, Adaku Uchendu, Ali Al-Lawati, Michiharu Yamashita, Dominik Macko, Ivan Srba, Róbert Móro, Dongwon Lee
2026 J jnl
Beyond Speculation: Measuring the Growing Presence of Large Language Model-Generated Texts in Multilingual Disinformation.
Computer
Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee
2025 — conf
Beemo: Benchmark of Expert-edited Machine-generated Outputs.
NAACL (Long Papers)
Ekaterina Artemova, Jason Samuel Lucas, Saranya Venkatraman, Jooyoung Lee, Sergei Tilga, Adaku Uchendu, Vladislav Mikhailov
2025 J jnl
Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation.
CoRR
Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee
2025 J jnl
Masks and Mimicry: Strategic Obfuscation and Impersonation Attacks on Authorship Verification.
CoRR
Kenneth Alperin, Rohan Leekha, Adaku Uchendu, Trang Nguyen, Srilakshmi Medarametla, Carlos Levya Capote, Seth Aycock, Charlie K. Dagli
2025 — conf
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection.
NAACL (Long Papers)
Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee
2025 — conf
Signature Vs. Substance: Evaluating the Balance of Adversarial Resistance and Linguistic Quality in Watermarking Large Language Models.
ICDM (Workshops)
William Guo, Ana Smith, Adaku Uchendu
2025 J jnl
Signature vs. Substance: Evaluating the Balance of Adversarial Resistance and Linguistic Quality in Watermarking Large Language Models.
CoRR
William Guo, Adaku Uchendu, Ana Smith
2024 — conf
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts.
ACL (1)
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
2024 — conf
Authorship Obfuscation in Multilingual Machine-Generated Text Detection.
EMNLP (Findings)
Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková
2024 J jnl
Authorship Obfuscation in Multilingual Machine-Generated Text Detection.
CoRR
Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková
2024 J jnl
Beemo: Benchmark of Expert-edited Machine-generated Outputs.
CoRR
Ekaterina Artemova, Jason Samuel Lucas, Saranya Venkatraman, Jooyoung Lee, Sergei Tilga, Adaku Uchendu, Vladislav Mikhailov
2024 — conf
GPT-who: An Information Density-based Machine-Generated Text Detector.
NAACL-HLT (Findings)
Saranya Venkatraman, Adaku Uchendu, Dongwon Lee
2024 J jnl
PlagBench: Exploring the Duality of Large Language Models in Plagiarism Generation and Detection.
CoRR
Jooyoung Lee, Toshini Agrawal, Adaku Uchendu, Thai Le, Jinghui Chen, Dongwon Lee
2024 A conf
TopFormer: Topology-Aware Authorship Attribution of Deepfake Texts with Diverse Writing Styles.
ECAI
Adaku Uchendu, Thai Le, Dongwon Lee
2024 J jnl
Unveiling Topological Structures in Text: A Comprehensive Survey of Topological Data Analysis Applications in NLP.
CoRR
Adaku Uchendu, Thai Le
2023 J jnl
A Ship of Theseus: Curious Cases of Paraphrasing in LLM-Generated Texts.
CoRR
Nafis Irtiza Tripto, Saranya Venkatraman, Dominik Macko, Róbert Móro, Ivan Srba, Adaku Uchendu, Thai Le, Dongwon Lee
2023 J jnl
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective.
SIGKDD Explor.
Adaku Uchendu, Thai Le, Dongwon Lee
2023 A* conf
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation.
EMNLP
Jason Samuel Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee
2023 J jnl
Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation.
CoRR
Jason Samuel Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee
2023 J jnl
GPT-who: An Information Density-based Machine-Generated Text Detector.
CoRR
Saranya Venkatraman, Adaku Uchendu, Dongwon Lee
2023 — conf
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis.
EMNLP (Findings)
Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
2023 J jnl
HANSEN: Human and AI Spoken Text Benchmark for Authorship Analysis.
CoRR
Nafis Irtiza Tripto, Adaku Uchendu, Thai Le, Mattia Setzu, Fosca Giannotti, Dongwon Lee
2023 A* conf
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark.
EMNLP
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
2023 J jnl
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark.
CoRR
Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková
2023 J jnl
TopRoBERTa: Topology-Aware Authorship Attribution of Deepfake Texts.
CoRR
Adaku Uchendu, Thai Le, Dongwon Lee
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
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
2023 J jnl
Understanding Individual and Team-based Human Factors in Detecting Deepfake Texts.
CoRR
Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Ting-Hao Kenneth Huang, Dongwon Lee
2022 J jnl
Attribution and Obfuscation of Neural Text Authorship: A Data Mining Perspective.
CoRR
Adaku Uchendu, Thai Le, Dongwon Lee
2021 — conf
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks.
AIKE
Adaku Uchendu, Daniel Campoy, Christopher Menart, Alexandra Hildenbrandt
2021 J jnl
Robustness of Bayesian Neural Networks to White-Box Adversarial Attacks.
CoRR
Adaku Uchendu, Daniel Campoy, Christopher Menart, Alexandra Hildenbrandt
2021 — conf
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation.
EMNLP (Findings)
Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee
2021 J jnl
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation.
CoRR
Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee
2020 — conf
Authorship Attribution for Neural Text Generation.
EMNLP (1)
Adaku Uchendu, Thai Le, Kai Shu, Dongwon Lee
2019 — conf
A Reverse Turing Test for Detecting Machine-Made Texts.
WebSci
Jialin Shao, Adaku Uchendu, Dongwon Lee
2019 — conf
Characterizing Man-made vs. Machine-made Chatbot Dialogs.
TTO
Adaku Uchendu, Jeffrey Cao, Qiaozhi Wang, Bo Luo, Dongwon Lee