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Generating Textual Adversaries with Minimal Perturbation


Nov 12, 2022
Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan

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* To appear in EMNLP Findings 2022. The code is available at https://github.com/xingyizhao/TAMPERS 

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Robust Unstructured Knowledge Access in Conversational Dialogue with ASR Errors


Nov 08, 2022
Yik-Cheung Tam, Jiacheng Xu, Jiakai Zou, Zecheng Wang, Tinglong Liao, Shuhan Yuan

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* ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 6702-6706 
* 7 pages, 2 figures. Accepted at ICASSP 2022 

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Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations


Oct 09, 2022
He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu

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Trustworthy Anomaly Detection: A Survey


Feb 15, 2022
Shuhan Yuan, Xintao Wu

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* Paper list, see https://github.com/yuan-shuhan/trustworthy-anomaly-detection-papers 

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Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities


May 25, 2020
Shuhan Yuan, Xintao Wu

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Identifying Hidden Buyers in Darknet Markets via Dirichlet Hawkes Process


Nov 12, 2019
Panpan Zheng, Shuhan Yuan, Xintao Wu, Yubao Wu

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Achieving Differential Privacy in Vertically Partitioned Multiparty Learning


Nov 11, 2019
Depeng Xu, Shuhan Yuan, Xintao Wu

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SAFE: A Neural Survival Analysis Model for Fraud Early Detection


Sep 12, 2018
Panpan Zheng, Shuhan Yuan, Xintao Wu

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One-Class Adversarial Nets for Fraud Detection


Jun 05, 2018
Panpan Zheng, Shuhan Yuan, Xintao Wu, Jun Li, Aidong Lu

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* Update Fig 2, add Fig 7, and add references 

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FairGAN: Fairness-aware Generative Adversarial Networks


May 28, 2018
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu

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