Qiongkai Xu

According to our database, Qiongkai Xu authored at least 53 papers between 2012 and 2025.

Collaborative distances:

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

2025

PatentMind: A Multi-Aspect Reasoning Graph for Patent Similarity Evaluation.

Yongmin Yoo, Qiongkai Xu, Longbing Cao

CoRR, May, 2025

PatentScore: Multi-dimensional Evaluation of LLM-Generated Patent Claims.

Yongmin Yoo, Qiongkai Xu, Longbing Cao

CoRR, May, 2025

GRADA: Graph-based Reranker against Adversarial Documents Attack.

Jingjie Zheng, Aryo Pradipta Gema, Giwon Hong, Xuanli He, Pasquale Minervini, Youcheng Sun, Qiongkai Xu

CoRR, May, 2025

Defending Deep Neural Networks against Backdoor Attacks via Module Switching.

Weijun Li, Ansh Arora, Xuanli He, Mark Dras, Qiongkai Xu

CoRR, April, 2025

ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation.

Yiyi Chen, Qiongkai Xu, Johannes Bjerva

CoRR, February, 2025

HEAL: Healthcare Emergency Assistants Leveraging Large Language Models.

Zihan Zhu, Qiongkai Xu, Amin Beheshti

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

WET: Overcoming Paraphrasing Vulnerabilities in Embeddings-as-a-Service with Linear Transformation Watermarks.

Anudeex Shetty, Qiongkai Xu, Jey Han Lau

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

TUBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning.

Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the Findings of the Association for Computational Linguistics, 2025

ALGEN: Few-shot Inversion Attacks on Textual Embeddings via Cross-Model Alignment and Generation.

Yiyi Chen, Qiongkai Xu, Johannes Bjerva

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Generative Models are Self-Watermarked: Declaring Model Authentication through Re-Generation.

Aditya Desu, Xuanli He, Qiongkai Xu, Wei Lu

Trans. Mach. Learn. Res., 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

Trans. Assoc. Comput. Linguistics, 2024

Cut the Deadwood Out: Post-Training Model Purification with Selective Module Substitution.

Yao Tong, Weijun Li, Xuanli He, Haolan Zhan, Qiongkai Xu

CoRR, 2024

IDT: Dual-Task Adversarial Attacks for Privacy Protection.

Pedro Faustini, Shakila Mahjabin Tonni, Annabelle McIver, Qiongkai Xu, Mark Dras

CoRR, 2024

NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human.

Shuo Huang, William MacLean, Xiaoxi Kang, Anqi Wu, Lizhen Qu, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari

CoRR, 2024

Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning.

Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn

CoRR, 2024

Attacks on Third-Party APIs of Large Language Models.

Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane

CoRR, 2024

Backdoor Attack on Multilingual Machine Translation.

Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn

CoRR, 2024

Backdoor Attacks on Multilingual Machine Translation.

Jun Wang, Qiongkai Xu, Xuanli He, Benjamin I. P. Rubinstein, Trevor Cohn

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients.

Weijun Li, Qiongkai Xu, Mark Dras

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

WARDEN: Multi-Directional Backdoor Watermarks for Embedding-as-a-Service Copyright Protection.

Anudeex Shetty, Yue Teng, Ke He, Qiongkai Xu

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

Here's a Free Lunch: Sanitizing Backdoored Models with Model Merge.

Ansh Arora, Xuanli He, Maximilian Mozes, Srinibas Swain, Mark Dras, Qiongkai Xu

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

Overview of the 2024 ALTA Shared Task: Detect Automatic AI-Generated Sentences for Human-AI Hybrid Articles.

Diego Mollá, Qiongkai Xu, Zijie Zeng, Zhuang Li

Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association, 2024

2023

Training-free Lexical Backdoor Attacks on Language Models.

Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, Chunyang Chen

Proceedings of the ACM Web Conference 2023, 2023

Humanly Certifying Superhuman Classifiers.

Qiongkai Xu, Christian Walder, Chenchen Xu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Boot and Switch: Alternating Distillation for Zero-Shot Dense Retrieval.

Fan Jiang, Qiongkai Xu, Tom Drummond, Trevor Cohn

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

Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation.

Xuanli He, Qiongkai Xu, Jun Wang, Benjamin I. P. Rubinstein, Trevor Cohn

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

Fingerprint Attack: Client De-Anonymization in Federated Learning.

Qiongkai Xu, Trevor Cohn, Olga Ohrimenko

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Rethinking Round-Trip Translation for Machine Translation Evaluation.

Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn

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

Overview of the 2023 ALTA Shared Task: Discriminate between Human-Written and Machine-Generated Text.

Diego Mollá, Haolan Zhan, Xuanli He, Qiongkai Xu

Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022

Rethinking Round-trip Translation for Automatic Machine Translation Evaluation.

Terry Yue Zhuo, Qiongkai Xu, Xuanli He, Trevor Cohn

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Extracted BERT Model Leaks More Information than You Think!

Xuanli He, Lingjuan Lyu, Chen Chen, Qiongkai Xu

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

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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs.

Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari

CoRR, 2021

Privacy Monitoring Service for Conversations.

Qiongkai Xu, Chenchen Xu, Lizhen Qu

Proceedings of the WSDM '21, 2021

Model Extraction and Adversarial Transferability, Your BERT is Vulnerable!

Xuanli He, Lingjuan Lyu, Lichao Sun, Qiongkai Xu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Personal Information Leakage Detection in Conversations.

Qiongkai Xu, Lizhen Qu, Zeyu Gao, Gholamreza Haffari

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

Adhering, Steering, and Queering: Treatment of Gender in Natural Language Generation.

Yolande A. A. Strengers, Lizhen Qu, Qiongkai Xu, Jarrod Knibbe

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Privacy-Aware Text Rewriting.

Qiongkai Xu, Lizhen Qu, Chenchen Xu, Ran Cui

Proceedings of the 12th International Conference on Natural Language Generation, 2019

ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation.

Qiongkai Xu, Chenchen Xu, Lizhen Qu

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

D-PAGE: Diverse Paraphrase Generation.

Qiongkai Xu, Juyan Zhang, Lizhen Qu, Lexing Xie, Richard Nock

CoRR, 2018

EPUTION at SemEval-2018 Task 2: Emoji Prediction with User Adaption.

Liyuan Zhou, Qiongkai Xu, Hanna Suominen, Tom Gedeon

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

2017

Collective Vertex Classification Using Recursive Neural Network.

Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu

CoRR, 2017

Attentive Graph-based Recursive Neural Network for Collective Vertex Classification.

Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Demographic Inference on Twitter using Recursive Neural Networks.

Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan, Cécile Paris

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Semantic Documents Relatedness using Concept Graph Representation.

Yuan Ni, Qiongkai Xu, Feng Cao, Yosi Mass, Dafna Sheinwald, Huijia Zhu, Shao Sheng Cao

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models.

Zhuang Li, Lizhen Qu, Qiongkai Xu, Mark Johnson

Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

Deep Neural Networks for Learning Graph Representations.

Shaosheng Cao, Wei Lu, Qiongkai Xu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

GraRep: Learning Graph Representations with Global Structural Information.

Shaosheng Cao, Wei Lu, Qiongkai Xu

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Detecting English-French Cognates Using Orthographic Edit Distance.

Qiongkai Xu, Albert Chen, Chang Li

Proceedings of the Australasian Language Technology Association Workshop, 2015

2012

Using Deep Linguistic Features for Finding Deceptive Opinion Spam.

Qiongkai Xu, Hai Zhao

Proceedings of the COLING 2012, 2012