Publications
A complete list of publications: [Google Scholar] [Semantic Scholar]
Corresponding author (✉) and Equal contribution (﹡)
2024
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[C28] Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
Weijun Li, Qiongkai Xu, Mark Dras
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2024. -
[J3] Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation
Aditya Desu, Xuanli He, Qiongkai Xu✉, Wei Lu
Transactions on Machine Learning Research (TMLR), Sep 2024. -
[J2] SEEP: Training Dynamics Grounds Latent Representation Search for Mitigating Backdoor Poisoning Attacks
Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn
Transactions of the Association for Computational Linguistics (TACL), Sep 2024, presented in ACL’24. -
[C27] WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection
Anudeex Shetty, Yue Teng, Ke He, Qiongkai Xu✉
In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), Aug 2024. -
[C26] 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 (Findings-ACL), Aug 2024. -
[C25] Backdoor Attacks on Multilingual Machine Translation
Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn
In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Jun 2024. -
[W5] Attacks on Third-Party APIs of Large Language Models
Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu✉, Nicholas Donald Lane
In ICLR 2024 Workshop on Secure and Trustworthy Large Language Models (SeT-LLM @ ICLR), May 2024.
2023
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[C24] Security Challenges in Natural Language Processing Models
Qiongkai Xu, Xuanli He
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): Tutorial Abstracts, Dec 2023. -
[C23] Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation
Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2023. -
[C22] Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval
Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn
In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (Findings-EMNLP), Dec 2023. -
[W4] Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text
Diego Molla, Haolan Zhan, Xuanli He, Qiongkai Xu
In Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association (ALTA), Nov 2023. -
[C21] Fingerprint Attack: Client De-Anonymization in Federated Learning
Qiongkai Xu, Trevor Cohn, Olga Ohrimenko
In Proceedings of the 26th European Conference on Artificial Intelligence (ECAI), Oct 2023. -
[C20] 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 (Findings-ACL), Jul 2023 . -
[C19] Humanly Certifying Superhuman Classifiers
Qiongkai Xu, Christian Walder, Chenchen Xu
In Proceedings of the Eleventh International Conference on Learning Representations (ICLR), May 2023.
Spotlight, notable-top-25% -
[C18] Training-Free Lexical Backdoor Attacks on Language Models
Yujin Huang, Terry Zhuo Yue, Qiongkai Xu✉, Han Hu, Xingliang Yuan✉, Chunyang Chen
In Proceedings of the ACM Web Conference 2023 (WWW), Apr 2023.
2022
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[C17] 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 (EMNLP), Dec 2022. -
[C16] Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation
Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari
In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec 2022. -
[C15] 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 the 36th Conference on Neural Information Processing Systems (NeurIPS), Nov 2022. -
[C14] 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 (COLING), Oct 2022. -
[C13] 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 (AAAI), Feb 2022.
2021
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[C12] Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!
Xuanli He, Lingjuan Lyu, Qiongkai Xu, Lichao Sun
In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Jun 2021. -
[C11] Privacy Monitoring Service for Conversations
Qiongkai Xu, Chenchen Xu, Lizhen Qu
In Proceedings of the 14th ACM International Conference on Web Search and Data Mining (WSDM): System Demonstrations, Mar 2021.
2020
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[C10] Personal Information Leakage Detection in Conversations
Qiongkai Xu, Lizhen Qu, Zeyu Gao, Gholamreza Haffari
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), Nov 2020. -
[C9] Adhering, Steering, and Queering: Treatment of Gender in Natural Language Generation
Yolande Strengers, Lizhen Qu, Qiongkai Xu, Jarrod Knibbe
In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI), Apr 2020. -
[J1] Raster Adaptive Optics for Video Rate Aberration Correction and Large FOV Multiphoton Imaging
Yongxiao Li, Yean J Lim, Qiongkai Xu, Lynette Beattie, Elizabeth E Gardiner, Katharina Gaus, William R Heath, Woei Ming Lee
Biomedical Optics Express, Feb 2020.
2019
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[C8] ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation
Qiongkai Xu, Chenchen Xu, Lizhen Qu
In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, Nov 2019. -
[C7] Privacy-Aware Text Rewriting
Qiongkai Xu, Lizhen Qu, Chenchen Xu, Ran Cui
In Proceedings of the 12th International Conference on Natural Language Generation (INLG), Oct 2019.
Google H-5 index: 2018-2023, 2019-2024.
2018 and before
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[W3] EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption
Liyuan Zhou, Qiongkai Xu, Hanna Suominen, Tom Gedeon
In Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval), Jun 2018. -
[C6] Attentive Graph-based Recursive Neural Network for Collective Vertex Classification
Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu
In Proceedings of the 2017 ACM on Conference on Information and Knowledge Management (CIKM), Nov 2017. -
[C5] Demographic Inference on Twitter using Recursive Neural Networks
Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan, Cécile Paris
In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), Jul 2017. -
[W2] Unsupervised Pre-training With Sequence Reconstruction Loss for Deep Relation Extraction Models
Zhuang Li, Lizhen Qu, Qiongkai Xu, Mark Johnson
In Proceedings of Australasian Language Technology Association Workshop (ALTA), Dec 2016. -
[C4] Semantic Documents Relatedness using Concept Graph Representation
Yuan Ni, Qiong Kai Xu, Feng Cao, Yosi Mass, Dafna Sheinwald, Hui Jia Zhu, Shao Sheng Cao
In Proceedings of the 9th ACM International Conference on Web Search and Data Mining (WSDM), Feb 2016. -
[C3] Deep Neural networks for Learning Graph Representations
Shaosheng Cao, Wei Lu, Qiongkai Xu
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), Feb 2016.
Google H-5 index: 2014-2019, 2015-2020, 2016-2021. -
[W1] Detecting English-French Cognates Using Orthographic Edit Distance
Qiongkai Xu, Albert Chen, Chang Li
In Proceedings of Australasian Language Technology Association Workshop (ALTA), Dec 2015. -
[C2] GraRep: Learning Graph Representations with Global Structural Information
Shaosheng Cao, Wei Lu, Qiongkai Xu
In Proceedings of the 24th ACM international on Conference on Information and Knowledge Management (CIKM), Oct 2015.
Google H-5 index: 2013-2018, 2014-2019, 2015-2020. -
[C1] Using Deep Linguistic Features for Finding Deceptive Opinion Spam
Qiongkai Xu, Hai Zhao
In Proceedings of the 24th International Conference on Computational Linguistics (COLING), Dec 2012.