Chao Liu

Orcid: 0000-0002-5221-7549

Affiliations:
  • University of Maryland, Department of Computer Science and Electrical Engineering, Baltimore County, MD, USA


According to our database1, Chao Liu authored at least 12 papers between 2019 and 2024.

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

Timeline

Legend:

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Online presence:

On csauthors.net:

Bibliography

2024
Unraveling Attacks to Machine-Learning-Based IoT Systems: A Survey and the Open Libraries Behind Them.
IEEE Internet Things J., June, 2024

FACOS: Enabling Privacy Protection Through Fine-Grained Access Control With On-Chain and Off-Chain System.
IEEE Trans. Inf. Forensics Secur., 2024

2023
Anonymous Lightweight Authenticated Key Agreement Protocol for Fog-Assisted Healthcare IoT System.
IEEE Internet Things J., October, 2023

Soft Merging: A Flexible and Robust Soft Model Merging Approach for Enhanced Neural Network Performance.
CoRR, 2023

2022
MixNN: A Design for Protecting Deep Learning Models.
Sensors, 2022

How to achieve adaptive security for asynchronous BFT?
J. Parallel Distributed Comput., 2022

Apply Trust Computing and Privacy Preserving Smart Contracts to Manage, Share, and Analyze Multi-site Clinical Trial Data.
Proceedings of the International Conference on Deep Learning, 2022

2021
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Impersonation Attacks on Lightweight Anonymous Authenticated Key Exchange Scheme for IoT.
IACR Cryptol. ePrint Arch., 2020

Intrusion-Tolerant and Confidentiality-Preserving Publish/Subscribe Messaging.
Proceedings of the International Symposium on Reliable Distributed Systems, 2020

EPIC: Efficient Asynchronous BFT with Adaptive Security.
Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2020

2019
A Privacy-Preserving RLWE-Based Remote Biometric Authentication Scheme for Single and Multi-Server Environments.
IEEE Access, 2019


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