Chang Xu

DAN: Dual-view representation learning for adapting stance classifiers to new domains

C Xu, C Paris, S Nepal, R Sparks, C Long, Y Wang

Conference Proceedings  |  2020  |  Frontiers in Artificial Intelligence and Applications

DeepMnemonic: Password Mnemonic Generation via Deep Attentive Encoder-Decoder Model

Yao Cheng, Chang Xu, Zhen Hai, Yingjiu Li

Journal article  |  2020  |  IEEE Transactions on Dependable and Secure Computing

Strong passwords are fundamental to the security of password-based user authentication systems. In recent years, much effort has b..

Recognising agreement and disagreement between stances with reason comparing networks

C Xu, C Paris, S Nepal, R Sparks

Conference Proceedings  |  2020  |  ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

We identify agreement and disagreement between utterances that express stances towards a topic of discussion. Existing methods foc..

STRIP: a defence against trojan attacks on deep neural networks

Yansong Gao, Change Xu, Derui Wang, Shiping Chen, Damith C Ranasinghe, Surya Nepal

Conference Proceedings  |  2019  |  Proceedings of the 35th Annual Computer Security Applications Conference

A recent trojan attack on deep neural network (DNN) models is one insidious variant of data poisoning attacks. Trojan attacks expl..

Learning from bad data via generation

T Guo, C Xu, B Shi, C Xu, D Tao

Conference Proceedings  |  2019  |  Advances in Neural Information Processing Systems

Cross-target stance classification with self-attention networks

C Xu, C Paris, S Nepal, R Sparks

Conference Proceedings  |  2018  |  Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Collusive Opinion Fraud Detection in Online Reviews

Chang Xu, Jie Zhang

Journal article  |  2017  |  ACM Transactions on the Web

Online Reputation Fraud Campaign Detection in User Ratings

Chang Xu, Jie Zhang, Zhu Sun

Conference Proceedings  |  2017  |  Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Reputation fraud campaigns (RFCs) distort the reputations of rated items, by generating fake ratings through multiple spammers. On..

Large-Scale Wi-Fi Hotspot Classification via Deep Learning

Chang Xu, Kuiyu Chang, Khee-Chin Chua, Meishan Hu, Zhenxiang Gao

Conference Proceedings  |  2017  |  Proceedings of the 26th International Conference on World Wide Web Companion - WWW '17 Companion

Towards Collusive Fraud Detection in Online Reviews

Chang Xu, Jie Zhang

Conference Proceedings  |  2015  |  2015 IEEE International Conference on Data Mining