Papers

Research is an organized method of trying to find out what you are going to do after you cannot do what you are doing now. It may also be said to be the method of keeping a customer reasonably dissatisfied with what he has. That means constant improvement and change so that the customer will be stimulated to desire the new product enough to buy it to replace the one he has.

—Charles F. Kettering

• SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks
  Xuanli He, Qiongkai Xu, Jun Wang, Benjamin Rubinstein, Trevor Cohn. In Transactions of the Association for Computational Linguistics. 2024.
• Here’s a Free Lunch: Sanitizing Backdoored Models with Model Merge
  Ansh Arora, Xuanli He, Maximilian Mozes, Srinibas Swain, Mark Dras, Qiongkai Xu. In Findings of the Association for Computational Linguistics ACL 2024. 2024.
• Backdoor Attacks on Multilingual Machine Translation
  Jun Wang, Qiongkai Xu, Xuanli He, Benjamin Rubinstein, Trevor Cohn. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.
• AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages
  Jiayi Wang, David Adelani, Sweta Agrawal, Marek Masiak, Ricardo Rei, Eleftheria Briakou, Marine Carpuat, Xuanli He, Sofia Bourhim, Andiswa Bukula, Muhidin Mohamed, Temitayo Olatoye, Tosin Adewumi, Hamam Mokayed, Christine Mwase, Wangui Kimotho, Foutse Yuehgoh, Anuoluwapo Aremu, Jessica Ojo, Shamsuddeen Muhammad, Salomey Osei, Abdul-Hakeem Omotayo, Chiamaka Chukwuneke, Perez Ogayo, Oumaima Hourrane, Salma El Anigri, Lolwethu Ndolela, Thabiso Mangwana, Shafie Mohamed, Hassan Ayinde, Oluwabusayo Awoyomi, Lama Alkhaled, Sana Al-azzawi, Naome Etori, Millicent Ochieng, Clemencia Siro, Njoroge Kiragu, Eric Muchiri, Wangari Kimotho, Toadoum Sari Sakayo, Lyse Naomi Wamba, Daud Abolade, Simbiat Ajao, Iyanuoluwa Shode, Ricky Macharm, Ruqayya Iro, Saheed Abdullahi, Stephen Moore, Bernard Opoku, Zainab Akinjobi, Abeeb Afolabi, Nnaemeka Obiefuna, Onyekachi Ogbu, Sam Ochieng’, Verrah Otiende, Chinedu Mbonu, Yao Lu, Pontus Stenetorp. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.
• Using Natural Language Explanations to Improve Robustness of In-context Learning
  Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp. In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
• Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation
  Xuanli He, Qiongkai Xu, Jun Wang, Benjamin Rubinstein, Trevor Cohn. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
• Rethinking Round-Trip Translation for Machine Translation Evaluation
  Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn. In Findings of the Association for Computational Linguistics: ACL 2023. 2023.
• IMBERT: Making BERT Immune to Insertion-based Backdoor Attacks
  Xuanli He, Jun Wang, Benjamin Rubinstein, Trevor Cohn. In Proceedings of the 3rd Workshop on Trustworthy Natural Language Processing. 2023.
• Foiling Training-Time Attacks on Neural Machine Translation Systems
  Jun Wang, Xuanli He, Benjamin Rubinstein, Trevor Cohn. In Findings of the Association for Computational Linguistics: EMNLP 2022. 2022.
• Extracted BERT Model Leaks More Information than You Think!
  Xuanli He, Chen Chen, Lingjuan Lyu, Qiongkai Xu. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. 2022.
• Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs
  Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari. In Proceedings of the 29th International Conference on Computational Linguistics. 2022.
• Protecting Intellectual Property of Language Generation APIs with Lexical Watermark
  Xuanli He, Qiongkai Xu, Lingjuan Lyu, Fangzhao Wu, Chenguang Wang. In Proceedings of the AAAI Conference on Artificial Intelligence. 2022.
• CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
  Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia. In Proceedings of Advances in Neural Information Processing Systems. 2022.
• Generate, Annotate, and Learn: NLP with Synthetic Text
  Xuanli He, Islam Nassar, Jamie Kiros, Gholamreza Haffari, Mohammad Norouzi. In Transactions of the Association for Computational Linguistics. 2022.
• Generalised Unsupervised Domain Adaptation of Neural Machine Translation with Cross-Lingual Data Selection
  Thuy-Trang Vu, Xuanli He, Dinh Phung, and Gholamreza Haffari. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021.
• Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
  Xuanli He, Lingjuan Lyu, Lichao Sun, and Qiongkai Xu. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.
• Scene Graph Modification Based on Natural Language Commands
  Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam. In The Findings of the Empirical Methods in Natural Language Processing (Findings-EMNLP). 2020.
• Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
  Lingjuan Lyu, Xuanli He, Yitong Li. In The Findings of the Empirical Methods in Natural Language Processing (Findings-EMNLP). 2020.
• Towards Differentially Private Text Representations
  Lingjuan Lyu, Yitong Li, Xuanli He, Tong Xiao. In Proceedings of 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. 2020.
• Dynamic Programming Encoding for Subword Segmentation in Neural Machine Translation
  Xuanli He, Gholamreza Haffari, Mohammad Norouzi. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. 2020.
• A Pointer Network Architecture for Context-Dependent Semantic Parsing
  Xuanli He, Quan Hung Tran, Gholamreza Haffari. In Proceedings of ALTA. 2019.
• Fog-embedded Deep Learning for the Internet of Things
  Lingjuan Lyu, James C Bezdek, Xuanli He, Jiong Jin. In IEEE Transactions on Industrial Informatics. 2019.
• Sequence to sequence mixture model for diverse machine translation
  Xuanli He, Gholamreza Haffari, Mohammad Norouzi. In Proceedings of CoNLL. 2018.
• Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation
  Xuanli He, Quan Hung Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari. In Proceedings of ALTA. 2018.
• Privacy-preserving collaborative fuzzy clustering
  Lingjuan Lyu, James C Bezdek, Yee Wei Law, Xuanli He, Marimuthu Palaniswami. In Data & Knowledge Engineering. 2018.
• Privacy-preserving collaborative deep learning with application to human activity recognition
  Lingjuan Lyu, Xuanli He, Yee Wei Law, Marimuthu Palaniswami. In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management. 2017.
• Fog-empowered anomaly detection in IoT using hyperellipsoidal clustering
  Lingjuan Lyu, Jiong Jin, Sutharshan Rajasegarar, Xuanli He, Marimuthu Palaniswami. In Proceedings of Educational Data Mining. 2017.
• Word representation models for morphologically rich languages in neural machine translation
  Ekaterina Vylomova, Trevor Cohn, Xuanli He, Gholamreza Haffari. In . 2016.