Shaowei Wang

According to our database, Shaowei Wang authored at least 48 papers between 2015 and 2024.

Collaborative distances:

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

2024

Locally Private Set-Valued Data Analyses: Distribution and Heavy Hitters Estimation.

Shaowei Wang, Yuntong Li, Yusen Zhong, Kongyang Chen, Xianmin Wang, Zhili Zhou, Fei Peng, Yuqiu Qian, Jiachun Du, Wei Yang

IEEE Trans. Mob. Comput., August, 2024

Security and Privacy Issues in Deep Reinforcement Learning: Threats and Countermeasures.

Kanghua Mo, Peigen Ye, Xiaojun Ren, Shaowei Wang, Wenjun Li, Jin Li

ACM Comput. Surv., June, 2024

Privacy Amplification via Shuffling: Unified, Simplified, and Tightened.

Shaowei Wang, Yun Peng, Jin Li, Zikai Wen, Zhipeng Li, Shiyu Yu, Di Wang, Wei Yang

Proc. VLDB Endow., April, 2024

ARES: On Adversarial Robustness Enhancement for Image Steganographic Cost Learning.

Qi Cui, Zhili Zhou, Ruohan Meng, Shaowei Wang, Hongyang Yan, Q. M. Jonathan Wu

IEEE Trans. Multim., 2024

Distributed Differential Privacy via Shuffling Versus Aggregation: A Curious Study.

Yu Wei, Jingyu Jia, Yuduo Wu, Changhui Hu, Changyu Dong, Zheli Liu, Xiaofeng Chen, Yun Peng, Shaowei Wang

IEEE Trans. Inf. Forensics Secur., 2024

DPGazeSynth: Enhancing eye-tracking virtual reality privacy with differentially private data synthesis.

Xiaojun Ren, Jiluan Fan, Ning Xu, Shaowei Wang, Changyu Dong, Zikai Wen

Inf. Sci., 2024

Segmented Private Data Aggregation in the Multi-message Shuffle Model.

Shaowei Wang, Ruilin Yang, Sufen Zeng, Kaiqi Yu, Rundong Mei, Shaozheng Huang, Wei Yang

CoRR, 2024

AIGC-Assisted Digital Watermark Services in Low-Earth Orbit Satellite-Terrestrial Edge Networks.

Kongyang Chen, Yikai Li, Wenjun Lan, Bing Mi, Shaowei Wang

CoRR, 2024

Beyond Statistical Estimation: Differentially Private Individual Computation in the Shuffle Model.

Shaowei Wang, Changyu Dong, Di Wang, Xiangfu Song

CoRR, 2024

Machine Unlearning in Large Language Models.

Kongyang Chen, Zixin Wang, Bing Mi, Waixi Liu, Shaowei Wang, Xiaojun Ren, Jiaxing Shen

CoRR, 2024

Federated Unlearning for Human Activity Recognition.

Kongyang Chen, Dongping Zhang, Yaping Chai, Weibin Zhang, Shaowei Wang, Jiaxing Shen

CoRR, 2024

Optimal Locally Private Data Stream Analytics.

Shaowei Wang, Yun Peng, Kongyang Chen, Wei Yang

Proceedings of the IEEE INFOCOM 2024, 2024

GenSeg: On Generating Unified Adversary for Segmentation.

Yuxuan Zhang, Zhenbo Shi, Wei Yang, Shuchang Wang, Shaowei Wang, Yinxing Xue

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

ChatGraph: Chat with Your Graphs.

Yun Peng, Sen Lin, Qian Chen, Shaowei Wang, Lyu Xu, Xiaojun Ren, Yafei Li, Jianliang Xu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness.

Shaowei Wang, Xuandi Luo, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang

IEEE Trans. Knowl. Data Eng., August, 2023

Shuffle Differential Private Data Aggregation for Random Population.

Shaowei Wang, Xuandi Luo, Yuqiu Qian, Youwen Zhu, Kongyang Chen, Qi Chen, Bangzhou Xin, Wei Yang

IEEE Trans. Parallel Distributed Syst., May, 2023

Distributed Differential Privacy via Shuffling vs Aggregation: a Curious Study.

Yu Wei, Jingyu Jia, Yuduo Wu, Changhui Hu, Changyu Dong, Zheli Liu, Xiaofeng Chen, Yun Peng, Shaowei Wang

IACR Cryptol. ePrint Arch., 2023

BAGEL: Backdoor Attacks against Federated Contrastive Learning.

Yao Huang, Kongyang Chen, Jiannong Cao, Jiaxing Shen, Shaowei Wang, Yun Peng, Weilong Peng, Kechao Cai

CoRR, 2023

FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation.

Yuxuan Zhang, Wei Yang, Shaowei Wang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fine-Grained Private Knowledge Distillation.

Yuntong Li, Shaowei Wang, Yingying Wang, Jin Li, Yuqiu Qian, Bangzhou Xin, Wei Yang

Proceedings of the IEEE International Conference on Acoustics, 2023

FirewaLLM: A Portable Data Protection and Recovery Framework for LLM Services.

Bin Huang, Shiyu Yu, Jin Li, Yuyang Chen, Shaozheng Huang, Sufen Zeng, Shaowei Wang

Proceedings of the Data Mining and Big Data - 8th International Conference, 2023

Personalized Differential Privacy in the Shuffle Model.

Ruilin Yang, Hui Yang, Jiluan Fan, Changyu Dong, Yan Pang, Duncan S. Wong, Shaowei Wang

Proceedings of the Artificial Intelligence Security and Privacy, 2023

2022

Federated synthetic data generation with differential privacy.

Bangzhou Xin, Yangyang Geng, Teng Hu, Sheng Chen, Wei Yang, Shaowei Wang, Liusheng Huang

Neurocomputing, 2022

2021

Hiding Numerical Vectors in Local Private and Shuffled Messages.

Shaowei Wang, Jin Li, Yuqiu Qian, Jiachun Du, Wenqing Lin, Wei Yang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Federated Learning with Personalized Local Differential Privacy.

Ge Yang, Shaowei Wang, Haijie Wang

Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020

Set-valued Data Publication with Local Privacy: Tight Error Bounds and Efficient Mechanisms.

Shaowei Wang, Yuqiu Qian, Jiachun Du, Wei Yang, Liusheng Huang, Hongli Xu

Proc. VLDB Endow., 2020

PrivAG: Analyzing Attributed Graph Data with Local Differential Privacy.

Zichun Liu, Liusheng Huang, Hongli Xu, Wei Yang, Shaowei Wang

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Private FL-GAN: Differential Privacy Synthetic Data Generation Based on Federated Learning.

Bangzhou Xin, Wei Yang, Yangyang Geng, Sheng Chen, Shaowei Wang, Liusheng Huang

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

PrivGMM: Probability Density Estimation with Local Differential Privacy.

Xinrong Diao, Wei Yang, Shaowei Wang, Liusheng Huang, Yan Xu

Proceedings of the Database Systems for Advanced Applications, 2020

2019

Local Differential Private Data Aggregation for Discrete Distribution Estimation.

Shaowei Wang, Liusheng Huang, Yiwen Nie, Xinyuan Zhang, Pengzhan Wang, Hongli Xu, Wei Yang

IEEE Trans. Parallel Distributed Syst., 2019

A Utility-Optimized Framework for Personalized Private Histogram Estimation.

Yiwen Nie, Wei Yang, Liusheng Huang, Xike Xie, Zhenhua Zhao, Shaowei Wang

IEEE Trans. Knowl. Data Eng., 2019

Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability.

Shaowei Wang, Jiachun Du, Wei Yang, Xinrong Diao, Zichun Liu, Yiwen Nie, Liusheng Huang, Hongli Xu

CoRR, 2019

A Utility-Optimized Framework for Personalized Private Histogram Estimation (Extended Abstract).

Yiwen Nie, Wei Yang, Liusheng Huang, Xike Xie, Zhenhua Zhao, Shaowei Wang

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Differentially Private Greedy Decision Forest.

Bangzhou Xin, Wei Yang, Shaowei Wang, Liusheng Huang

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Minimizing Controller Response Time Through Flow Redirecting in SDNs.

Pengzhan Wang, Hongli Xu, Liusheng Huang, Chen Qian, Shaowei Wang, Yanjing Sun

IEEE/ACM Trans. Netw., 2018

PrivSet: Set-Valued Data Analyses with Locale Differential Privacy.

Shaowei Wang, Liusheng Huang, Yiwen Nie, Pengzhan Wang, Hongli Xu, Wei Yang

Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Classification Learning from Private Data in Heterogeneous Settings.

Yiwen Nie, Shaowei Wang, Wei Yang, Liusheng Huang, Zhenhua Zhao

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Personalized Classifier Ensemble Pruning Framework for Mobile Crowdsourcing.

Shaowei Wang, Liusheng Huang, Pengzhan Wang, Hongli Xu, Wei Yang

CoRR, 2017

Differentially Private Frequent Itemset Mining from Smart Devices in Local Setting.

Xinyuan Zhang, Liusheng Huang, Peng Fang, Shaowei Wang, Zhenyu Zhu, Hongli Xu

Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

Local private ordinal data distribution estimation.

Shaowei Wang, Yiwen Nie, Pengzhan Wang, Hongli Xu, Wei Yang, Liusheng Huang

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Detect Malicious Attacks from Entire TCP Communication Process.

Peng Fang, Liusheng Huang, Xinyuan Zhang, Hongli Xu, Shaowei Wang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016

Mutual Information Optimally Local Private Discrete Distribution Estimation.

Shaowei Wang, Liusheng Huang, Pengzhan Wang, Yiwen Nie, Hongli Xu, Wei Yang, Xiang-Yang Li, Chunming Qiao

CoRR, 2016

Private Weighted Histogram Aggregation in Crowdsourcing.

Shaowei Wang, Liusheng Huang, Pengzhan Wang, Hou Deng, Hongli Xu, Wei Yang

Proceedings of the Wireless Algorithms, Systems, and Applications, 2016

Geospatial Streams Publish with Differential Privacy.

Yiwen Nie, Liusheng Huang, Zongfeng Li, Shaowei Wang, Zhenhua Zhao, Wei Yang, Xiaorong Lu

Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

2015

Recognizing the Operating Hand from Touchscreen Traces on Smartphones.

Hansong Guo, He Huang, Zehao Sun, Liusheng Huang, Zhenyu Zhu, Shaowei Wang, Pengzhan Wang, Hongli Xu, Hengchang Liu

Proceedings of the Knowledge Science, Engineering and Management, 2015

Privacy preserving big histogram aggregation for spatial crowdsensing.

Shaowei Wang, Liusheng Huang, Pengzhan Wang, Yao Shen, Hongli Xu, Wei Yang

Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

Personalized Privacy-Preserving Data Aggregation for Histogram Estimation.

Shaowei Wang, Liusheng Huang, Miaomiao Tian, Wei Yang, Hongli Xu, Hansong Guo

Proceedings of the 2015 IEEE Global Communications Conference, 2015

Towards Preserving Worker Location Privacy in Spatial Crowdsourcing.

Yao Shen, Liusheng Huang, Lu Li, Xiaorong Lu, Shaowei Wang, Wei Yang

Proceedings of the 2015 IEEE Global Communications Conference, 2015