Shaowei Wang

Orcid: 0000-0003-1577-1193

Affiliations:
  • University of Science and Technology of China, School of Computer Science and Technology, Hefei, China


According to our database1, Shaowei Wang authored at least 33 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Security and Privacy Issues in Deep Reinforcement Learning: Threats and Countermeasures.
ACM Comput. Surv., June, 2024

2023
Analyzing Preference Data With Local Privacy: Optimal Utility and Enhanced Robustness.
IEEE Trans. Knowl. Data Eng., August, 2023

Shuffle Differential Private Data Aggregation for Random Population.
IEEE Trans. Parallel Distributed Syst., May, 2023

BAGEL: Backdoor Attacks against Federated Contrastive Learning.
CoRR, 2023

FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fine-Grained Private Knowledge Distillation.
Proceedings of the IEEE International Conference on Acoustics, 2023

FirewaLLM: A Portable Data Protection and Recovery Framework for LLM Services.
Proceedings of the Data Mining and Big Data - 8th International Conference, 2023

2022
Federated synthetic data generation with differential privacy.
Neurocomputing, 2022

Fine-grained Private Knowledge Distillation.
CoRR, 2022

2021
Hiding Numerical Vectors in Local Private and Shuffled Messages.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Set-valued Data Publication with Local Privacy: Tight Error Bounds and Efficient Mechanisms.
Proc. VLDB Endow., 2020

PrivAG: Analyzing Attributed Graph Data with Local Differential Privacy.
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.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

PrivGMM: Probability Density Estimation with Local Differential Privacy.
Proceedings of the Database Systems for Advanced Applications, 2020

2019
Local Differential Private Data Aggregation for Discrete Distribution Estimation.
IEEE Trans. Parallel Distributed Syst., 2019

A Utility-Optimized Framework for Personalized Private Histogram Estimation.
IEEE Trans. Knowl. Data Eng., 2019

Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability.
CoRR, 2019

A Utility-Optimized Framework for Personalized Private Histogram Estimation (Extended Abstract).
Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Differentially Private Greedy Decision Forest.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Minimizing Controller Response Time Through Flow Redirecting in SDNs.
IEEE/ACM Trans. Netw., 2018

PrivSet: Set-Valued Data Analyses with Locale Differential Privacy.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Classification Learning from Private Data in Heterogeneous Settings.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Personalized Classifier Ensemble Pruning Framework for Mobile Crowdsourcing.
CoRR, 2017

Differentially Private Frequent Itemset Mining from Smart Devices in Local Setting.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

Local private ordinal data distribution estimation.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Detect Malicious Attacks from Entire TCP Communication Process.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Mutual Information Optimally Local Private Discrete Distribution Estimation.
CoRR, 2016

Private Weighted Histogram Aggregation in Crowdsourcing.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2016

Geospatial Streams Publish with Differential Privacy.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016

2015
Recognizing the Operating Hand from Touchscreen Traces on Smartphones.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Privacy preserving big histogram aggregation for spatial crowdsensing.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

Personalized Privacy-Preserving Data Aggregation for Histogram Estimation.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Towards Preserving Worker Location Privacy in Spatial Crowdsourcing.
Proceedings of the 2015 IEEE Global Communications Conference, 2015


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