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Depeng Xu 0001
Person information
- affiliation: University of North Carolina at Charlotte, NC, USA
- affiliation: University of Arkansas Fayetteville, AR, USA
Other persons with the same name
- Depeng Xu 0002 — Shenzhen University, Health Science Center, School of Biomedical Engineering, China
- Depeng Xu 0003 — Nanjing Normal University, MoE Key Laboratory of Virtual Geographic Environment, China
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2020 – today
- 2024
- [c23]Thomas Carr, Depeng Xu:
User Privacy in Skeleton-based Motion Data. IEEE Big Data 2024: 8219-8221 - [c22]Xingyi Zhao, Depeng Xu, Shuhan Yuan:
Defense against Backdoor Attack on Pre-trained Language Models via Head Pruning and Attention Normalization. ICML 2024 - [c21]Thomas Carr, Depeng Xu, Aidong Lu:
A Review of Privacy and Utility in Skeleton-based Data in Virtual Reality Metaverses. MetaCom 2024: 198-205 - [c20]Farsheed Haque, Depeng Xu
, Shuhan Yuan
:
Discovering and Mitigating Indirect Bias in Attention-Based Model Explanations. NAACL-HLT (Findings) 2024: 1599-1614 - [c19]He Cheng, Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Counterfactual Explanation for Sequence Anomaly Detection. ECML/PKDD (8) 2024: 19-35 - [i8]Thomas Carr, Depeng Xu, Aidong Lu:
Adversary-Guided Motion Retargeting for Skeleton Anonymization. CoRR abs/2405.05428 (2024) - [i7]He Cheng, Depeng Xu, Shuhan Yuan:
BadSAD: Clean-Label Backdoor Attacks against Deep Semi-Supervised Anomaly Detection. CoRR abs/2412.13324 (2024) - 2023
- [c18]Xi Niu, Ruhani Rahman, Xiangcheng Wu
, Zhe Fu, Depeng Xu
, Riyi Qiu:
Leveraging Uncertainty Quantification for Reducing Data for Recommender Systems. IEEE Big Data 2023: 352-359 - [c17]Thomas Carr
, Aidong Lu
, Depeng Xu
:
Linkage Attack on Skeleton-based Motion Visualization. CIKM 2023: 3758-3762 - [c16]He Cheng, Depeng Xu
, Shuhan Yuan
:
Explainable Sequential Anomaly Detection via Prototypes. IJCNN 2023: 1-8 - 2022
- [c15]He Cheng
, Depeng Xu
, Shuhan Yuan
:
Sequential Anomaly Detection with Local and Global Explanations. IEEE Big Data 2022: 1212-1217 - [c14]Xingyi Zhao, Lu Zhang, Depeng Xu, Shuhan Yuan
:
Generating Textual Adversaries with Minimal Perturbation. EMNLP (Findings) 2022: 4599-4606 - [c13]Xiao Han
, Depeng Xu
, Shuhan Yuan
, Xintao Wu
:
Few-shot Anomaly Detection and Classification Through Reinforced Data Selection. ICDM 2022: 963-968 - [c12]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: 93-105 - [i6]He Cheng, Depeng Xu
, Shuhan Yuan, Xintao Wu:
Fine-grained Anomaly Detection in Sequential Data via Counterfactual Explanations. CoRR abs/2210.04145 (2022) - [i5]Xingyi Zhao, Lu Zhang, Depeng Xu
, Shuhan Yuan:
Generating Textual Adversaries with Minimal Perturbation. CoRR abs/2211.06571 (2022) - 2021
- [c11]Xiao Han
, He Cheng
, Depeng Xu
, Shuhan Yuan
:
InterpretableSAD: Interpretable Anomaly Detection in Sequential Log Data. IEEE BigData 2021: 1183-1192 - [c10]Depeng Xu
, Shuhan Yuan
, Xintao Wu
:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. IEEE BigData 2021: 5474-5483 - [c9]Depeng Xu
, Wei Du, Xintao Wu
:
Removing Disparate Impact on Model Accuracy in Differentially Private Stochastic Gradient Descent. KDD 2021: 1924-1932 - [c8]Wei Du, Depeng Xu, Xintao Wu
, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. SDM 2021: 181-189 - 2020
- [i4]Depeng Xu, Wei Du, Xintao Wu:
Removing Disparate Impact of Differentially Private Stochastic Gradient Descent on Model Accuracy. CoRR abs/2003.03699 (2020) - [i3]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. CoRR abs/2010.05057 (2020)
2010 – 2019
- 2019
- [c7]Depeng Xu
, Shuhan Yuan, Lu Zhang, Xintao Wu
:
FairGAN+: Achieving Fair Data Generation and Classification through Generative Adversarial Nets. IEEE BigData 2019: 1401-1406 - [c6]Depeng Xu
, Yongkai Wu
, Shuhan Yuan
, Lu Zhang
, Xintao Wu
:
Achieving Causal Fairness through Generative Adversarial Networks. IJCAI 2019: 1452-1458 - [c5]Depeng Xu
, Shuhan Yuan
, Xintao Wu
:
Achieving Differential Privacy and Fairness in Logistic Regression. WWW (Companion Volume) 2019: 594-599 - [i2]Depeng Xu, Shuhan Yuan, Xintao Wu:
Achieving Differential Privacy in Vertically Partitioned Multiparty Learning. CoRR abs/1911.04587 (2019) - 2018
- [c4]Depeng Xu
, Shuhan Yuan
, Lu Zhang, Xintao Wu
:
FairGAN: Fairness-aware Generative Adversarial Networks. IEEE BigData 2018: 570-575 - [c3]Depeng Xu
, Shuhan Yuan, Xintao Wu
, NhatHai Phan:
DPNE: Differentially Private Network Embedding. PAKDD (2) 2018: 235-246 - [i1]Depeng Xu, Shuhan Yuan, Lu Zhang, Xintao Wu:
FairGAN: Fairness-aware Generative Adversarial Networks. CoRR abs/1805.11202 (2018) - 2017
- [c2]Depeng Xu
, Shuhan Yuan, Xintao Wu
:
Differential Privacy Preserving Causal Graph Discovery. PAC 2017: 60-71 - [c1]Srinidhi Katla, Depeng Xu
, Yongkai Wu
, Qiuping Pan, Xintao Wu
:
DPWeka: Achieving Differential Privacy in WEKA. PAC 2017: 184-185
Coauthor Index
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