Publications

A complete list of publications: [Google Scholar] [Semantic Scholar]

Corresponding author (✉) and Equal contribution (﹡)

To Appear

• Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
  Weijun Li, Qiongkai Xu, Mark Dras
  Accapted to EMNLP 2024.

2024

• 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.

• 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.

• 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.

• 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.

• 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.

• 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

• 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.

• 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.

• 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.

• 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.

• 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.

• 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 .

• 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%

• 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

• 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.

• 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.

• 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.

• 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.

• 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

• 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.

• 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

• 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.

• 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.

2019

• 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.

• 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

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.