Yang Liu

Orcid: 0000-0002-6276-1468

Affiliations:
  • Xidian University, School of Cyber Engineering, Xi'an, China


According to our database1, Yang Liu authored at least 45 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
FlGan: GAN-Based Unbiased Federated Learning Under Non-IID Settings.
IEEE Trans. Knowl. Data Eng., April, 2024

Effectively Improving Data Diversity of Substitute Training for Data-Free Black-Box Attack.
IEEE Trans. Dependable Secur. Comput., 2024

Efficient and self-recoverable privacy-preserving k-NN classification system with robustness to network delay.
J. Syst. Archit., 2024

SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images.
CoRR, 2024

Mitigate noisy data for smart IoT via GAN based machine unlearning.
Sci. China Inf. Sci., 2024

Guardian: Guarding against Gradient Leakage with Provable Defense for Federated Learning.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Need for Speed: Taming Backdoor Attacks with Speed and Precision.
Proceedings of the IEEE Symposium on Security and Privacy, 2024

2023
Reveal Your Images: Gradient Leakage Attack Against Unbiased Sampling-Based Secure Aggregation.
IEEE Trans. Knowl. Data Eng., December, 2023

Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database.
IEEE Trans. Big Data, October, 2023

A Secure and Lightweight Multi-Party Private Intersection-Sum Scheme over a Symmetric Cryptosystem.
Symmetry, February, 2023

iPrivJoin: An ID-Private Data Join Framework for Privacy-Preserving Machine Learning.
IEEE Trans. Inf. Forensics Secur., 2023

Forward/Backward and Content Private DSSE for Spatial Keyword Queries.
IEEE Trans. Dependable Secur. Comput., 2023

DivTheft: An Ensemble Model Stealing Attack by Divide-and-Conquer.
IEEE Trans. Dependable Secur. Comput., 2023

Learn to Forget: Machine Unlearning via Neuron Masking.
IEEE Trans. Dependable Secur. Comput., 2023

Sniffer: A Novel Model Type Detection System against Machine-Learning-as-a-Service Platforms.
Proc. VLDB Endow., 2023

Secondary Labeling: A Novel Labeling Strategy for Image Manipulation Detection.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Privacy-Preserving Object Detection for Medical Images With Faster R-CNN.
IEEE Trans. Inf. Forensics Secur., 2022

RevFRF: Enabling Cross-Domain Random Forest Training With Revocable Federated Learning.
IEEE Trans. Dependable Secur. Comput., 2022

Toward Evaluating the Reliability of Deep-Neural-Network-Based IoT Devices.
IEEE Internet Things J., 2022

A certificateless authentication scheme with fuzzy batch verification for federated UAV network.
Int. J. Intell. Syst., 2022

Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons.
CoRR, 2022

Case-Aware Adversarial Training.
CoRR, 2022

Backdoor Defense with Machine Unlearning.
Proceedings of the IEEE INFOCOM 2022, 2022

Combating False Sense of Security: Breaking the Defense of Adversarial Training Via Non-Gradient Adversarial Attack.
Proceedings of the IEEE International Conference on Acoustics, 2022

SeInspect: Defending Model Stealing via Heterogeneous Semantic Inspection.
Proceedings of the Computer Security - ESORICS 2022, 2022

2020
Are Android Apps Being Protected Well Against Attacks?
IEEE Wirel. Commun., 2020

An Efficient Decentralized Key Management Mechanism for VANET With Blockchain.
IEEE Trans. Veh. Technol., 2020

EmIr-Auth: Eye Movement and Iris-Based Portable Remote Authentication for Smart Grid.
IEEE Trans. Ind. Informatics, 2020

A machine learning-based scheme for the security analysis of authentication and key agreement protocols.
Neural Comput. Appl., 2020

Privacy-preserving federated <i>k</i>-means for proactive caching in next generation cellular networks.
Inf. Sci., 2020

LiPSG: Lightweight Privacy-Preserving Q-Learning-Based Energy Management for the IoT-Enabled Smart Grid.
IEEE Internet Things J., 2020

Cloud-based Federated Boosting for Mobile Crowdsensing.
CoRR, 2020

Learn to Forget: User-Level Memorization Elimination in Federated Learning.
CoRR, 2020

Droidetec: Android Malware Detection and Malicious Code Localization through Deep Learning.
CoRR, 2020

PE-HEALTH: Enabling Fully Encrypted CNN for Health Monitor with Optimized Communication.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

Boosting Privately: Federated Extreme Gradient Boosting for Mobile Crowdsensing.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Spectrum Privacy Preserving for Social Networks: A Personalized Differential Privacy Approach.
Proceedings of the Information Security and Cryptology - 16th International Conference, 2020

2019
Social Tie Based Cooperative Jamming for D2D Communications in the Internet of Things.
J. Inf. Sci. Eng., 2019

Lightweight Privacy-Preserving Ensemble Classification for Face Recognition.
IEEE Internet Things J., 2019

Privacy-Preserving Outsourced Speech Recognition for Smart IoT Devices.
IEEE Internet Things J., 2019

Revocable Federated Learning: A Benchmark of Federated Forest.
CoRR, 2019

Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing.
CoRR, 2019

A Combination Method for Android Malware Detection Based on Control Flow Graphs and Machine Learning Algorithms.
IEEE Access, 2019

Edge Weight Differential Privacy Based Spectral Query Algorithm.
Proceedings of the 2019 International Conference on Networking and Network Applications, 2019

An empirical study of SMS one-time password authentication in Android apps.
Proceedings of the 35th Annual Computer Security Applications Conference, 2019


  Loading...