Chen Wang
Orcid: 0000-0003-1963-4954Affiliations:
- Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Wuhan University, China (2013)
According to our database1,
Chen Wang
authored at least 67 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on escience.cn
On csauthors.net:
Bibliography
2024
Revisiting Long- and Short-Term Preference Learning for Next POI Recommendation With Hierarchical LSTM.
IEEE Trans. Mob. Comput., December, 2024
EgoMUIL: Enhancing Spatio-Temporal User Identity Linkage in Location-Based Social Networks With Ego-Mo Hypergraph.
IEEE Trans. Mob. Comput., August, 2024
Gradient-Leaks: Enabling Black-Box Membership Inference Attacks Against Machine Learning Models.
IEEE Trans. Inf. Forensics Secur., 2024
Manipulating Pre-Trained Encoder for Targeted Poisoning Attacks in Contrastive Learning.
IEEE Trans. Inf. Forensics Secur., 2024
Seeing Is Believing: Black-Box Membership Inference Attacks Against Retrieval Augmented Generation.
CoRR, 2024
2023
CP-Link: Exploiting Continuous Spatio-Temporal Check-In Patterns for User Identity Linkage.
IEEE Trans. Mob. Comput., August, 2023
Efficient Point-of-Interest Recommendation Services With Heterogenous Hypergraph Embedding.
IEEE Trans. Serv. Comput., 2023
IEEE Trans. Ind. Informatics, 2023
Knowledge Representation of Training Data With Adversarial Examples Supporting Decision Boundary.
IEEE Trans. Inf. Forensics Secur., 2023
TEAR: Exploring Temporal Evolution of Adversarial Robustness for Membership Inference Attacks Against Federated Learning.
IEEE Trans. Inf. Forensics Secur., 2023
Membership Inference Attacks Against Machine Learning Models via Prediction Sensitivity.
IEEE Trans. Dependable Secur. Comput., 2023
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
FedCSA: Boosting the Convergence Speed of Federated Unlearning under Data Heterogeneity.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023
Disentangling Client Contributions: Improving Federated Learning Accuracy in the Presence of Heterogeneous Data.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023
2022
Spatial-Temporal Conv-Sequence Learning With Accident Encoding for Traffic Flow Prediction.
IEEE Trans. Netw. Sci. Eng., 2022
Enabling Energy Trading in Cooperative Microgrids: A Scalable Blockchain-Based Approach With Redundant Data Exchange.
IEEE Trans. Ind. Informatics, 2022
Your Model Trains on My Data? Protecting Intellectual Property of Training Data via Membership Fingerprint Authentication.
IEEE Trans. Inf. Forensics Secur., 2022
OPTDP: Towards optimal personalized trajectory differential privacy for trajectory data publishing.
Neurocomputing, 2022
Digit. Commun. Networks, 2022
Poisoning attacks and countermeasures in intelligent networks: Status quo and prospects.
Digit. Commun. Networks, 2022
Proceedings of the IEEE International Conference on Trust, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
IEEE Trans. Inf. Forensics Secur., 2021
IEEE Trans. Inf. Forensics Secur., 2021
Keep Your Data Locally: Federated-Learning-Based Data Privacy Preservation in Edge Computing.
IEEE Netw., 2021
Security Challenges and Opportunities for Smart Contracts in Internet of Things: A Survey.
IEEE Internet Things J., 2021
GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data.
Distributed Parallel Databases, 2021
Spatial-Temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction.
CoRR, 2021
Protecting Locations with Differential Privacy against Location-Dependent Attacks in Continuous LBS Queries.
Proceedings of the 20th IEEE International Conference on Trust, 2021
ML-Stealer: Stealing Prediction Functionality of Machine Learning Models with Mere Black-Box Access.
Proceedings of the 20th IEEE International Conference on Trust, 2021
FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
2020
Wirel. Networks, 2020
MIASec: Enabling Data Indistinguishability Against Membership Inference Attacks in MLaaS.
IEEE Trans. Sustain. Comput., 2020
IEEE/ACM Trans. Netw., 2020
J. Syst. Archit., 2020
Privacy Preserving Trajectory Data Publishing with Personalized Differential Privacy.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
User Identity Linkage across Location-Based Social Networks with Spatio- Temporal Check-in Patterns.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020
Proceedings of the Blockchains for Network Security: Principles, 2020
2019
SocInf: Membership Inference Attacks on Social Media Health Data With Machine Learning.
IEEE Trans. Comput. Soc. Syst., 2019
On the Performance of $k$ -Anonymity Against Inference Attacks With Background Information.
IEEE Internet Things J., 2019
Classifying transportation mode and speed from trajectory data via deep multi-scale learning.
Comput. Networks, 2019
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019
Synchronization-Free GPS Spoofing Detection with Crowdsourced Air Traffic Control Data.
Proceedings of the 20th IEEE International Conference on Mobile Data Management, 2019
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
Proceedings of the ACM Turing Celebration Conference - China, 2019
2018
P<sup>3</sup>-LOC: A Privacy-Preserving Paradigm-Driven Framework for Indoor Localization.
IEEE/ACM Trans. Netw., 2018
RobLoP: Towards Robust Privacy Preserving Against Location Dependent Attacks in Continuous LBS Queries.
IEEE/ACM Trans. Netw., 2018
IEEE Trans. Mob. Comput., 2018
IEEE Trans. Mob. Comput., 2018
ILLIA: Enabling k-Anonymity-Based Privacy Preserving Against Location Injection Attacks in Continuous LBS Queries.
IEEE Internet Things J., 2018
Proceedings of the 2018 International Conference on Identification, 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
2017
IEEE Trans. Mob. Comput., 2017
2016
A novel networking architecture for mobile content delivery in urban transport systems.
Wirel. Networks, 2016
Wirel. Networks, 2016
BLOW-UP: Toward Distributed and Scalable Space Filling Curve Construction in 3D Volumetric WSNs.
ACM Trans. Sens. Networks, 2016
Connectivity-Based Space Filling Curve Construction Algorithms in High Genus 3D Surface WSNs.
ACM Trans. Sens. Networks, 2016
IEEE/ACM Trans. Netw., 2016
CANS: Towards Congestion-Adaptive and Small Stretch Emergency Navigation with Wireless Sensor Networks.
IEEE Trans. Mob. Comput., 2016
2015
Wirel. Networks, 2015
SURF: A connectivity-based space filling curve construction algorithm in high genus 3D surface WSNs.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015
2014
Trajectory-based multi-dimensional outlier detection in wireless sensor networks using Hidden Markov Models.
Wirel. Networks, 2014
2012
Proceedings of the 18th IEEE International Conference on Networks, 2012