Depeng Xu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 29

Top Topics

Vertically Partitioned

Anomaly Detection

Differential Privacy

Automatic Classification

Top Venues

Publications

Thomas Carr, Depeng Xu, Aidong Lu
Adversary-Guided Motion Retargeting for Skeleton Anonymization. CoRR (2024)
Xi Niu, Ruhani Rahman, Xiangcheng Wu, Zhe Fu, Depeng Xu, Riyi Qiu
Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems. BigData (2023)
Thomas Carr, Aidong Lu, Depeng Xu
Linkage Attack on Skeleton-based Motion Visualization. CIKM (2023)
He Cheng, Depeng Xu, Shuhan Yuan
Explainable Sequential Anomaly Detection via Prototypes. IJCNN (2023)
Xiao Han, Depeng Xu, Shuhan Yuan, Xintao Wu
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. ICDM (2022)
Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
Generating Textual Adversaries with Minimal Perturbation. EMNLP (Findings) (2022)
Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
Generating Textual Adversaries with Minimal Perturbation. CoRR (2022)
He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations. CoRR (2022)
He Cheng, Depeng Xu, Shuhan Yuan
Sequential Anomaly Detection with Local and Global Explanations. Big Data (2022)
Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu
Coded Hate Speech Detection via Contextual Information. PAKDD (1) (2022)
Xiao Han, He Cheng, Depeng Xu, Shuhan Yuan
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. IEEE BigData (2021)
Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong
Fairness-aware Agnostic Federated Learning. SDM (2021)
Depeng Xu, Wei Du, Xintao Wu
Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. KDD (2021)
Depeng Xu, Shuhan Yuan, Xintao Wu
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. IEEE BigData (2021)
Depeng Xu, Wei Du, Xintao Wu
Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy. CoRR (2020)
Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong
Fairness-aware Agnostic Federated Learning. CoRR (2020)
Jingxu Xu, Depeng Xu, Qianyue Wei, Yongjin Zhou
Automatic classification of male and female skeletal muscles using ultrasound imaging. Biomed. Signal Process. Control. 57 (2020)
Depeng Xu, Shuhan Yuan, Xintao Wu
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. CoRR (2019)
Depeng Xu, Yongkai Wu, Shuhan Yuan, Lu Zhang, Xintao Wu
Achieving Causal Fairness through Generative Adversarial Networks. IJCAI (2019)
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
: Achieving Fair Data Generation and Classification through Generative Adversarial Nets. IEEE BigData (2019)
Depeng Xu, Shuhan Yuan, Xintao Wu
Achieving Differential Privacy and Fairness in Logistic Regression. WWW (Companion Volume) (2019)
Suwen Qi, Tao Nie, Qiaoliang Li, Zhuoying He, Depeng Xu, Qiwen Chen
A Sperm Cell Tracking Recognition and Classification Method. IWSSIP (2019)
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
FairGAN: Fairness-aware Generative Adversarial Networks. IEEE BigData (2018)
Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu
FairGAN: Fairness-aware Generative Adversarial Networks. CoRR (2018)
Depeng Xu, Shuhan Yuan, Xintao Wu, HaiNhat Phan
DPNE: Differentially Private Network Embedding. PAKDD (2) (2018)
Bingxian Lin, Liangchen Zhou, Depeng Xu, A-Xing Zhu, Guonian Lü
A discrete global grid system for earth system modeling. Int. J. Geogr. Inf. Sci. 32 (4) (2018)
Srinidhi Katla, Depeng Xu, Yongkai Wu, Qiuping Pan, Xintao Wu
DPWeka: Achieving Differential Privacy in WEKA. PAC (2017)
Depeng Xu, Shuhan Yuan, Xintao Wu
Differential Privacy Preserving Causal Graph Discovery. PAC (2017)
Qiaoliang Li, Guangyao Yang, Zhewei Chen, Bin Huang, Liangliang Chen, Depeng Xu, Xueying Zhou, Shi Zhong, Huisheng Zhang, Tianfu Wang
Colorectal polyp segmentation using a fully convolutional neural network. CISP-BMEI (2017)