Lin Liu
Orcid: 0000-0002-5930-8881Affiliations:
- National University of Defense Technology, College of Computer, Changsha, Hunan, China (PhD 2020)
According to our database1,
Lin Liu
authored at least 26 papers
between 2018 and 2024.
Collaborative distances:
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Bibliography
2024
BVDFed: Byzantine-resilient and verifiable aggregation for differentially private federated learning.
Frontiers Comput. Sci., October, 2024
ExpMD: an Explainable Framework for Traffic Identification Based on Multi-Domain Features.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
2023
Randomization is all you need: A privacy-preserving federated learning framework for news recommendation.
Inf. Sci., August, 2023
Towards Strong Privacy Protection for Association Rule Mining and Query in the Cloud.
IEEE Trans. Cloud Comput., 2023
IEEE Trans. Cloud Comput., 2023
SecGAN: Honest-Majority Maliciously 3PC Framework for Privacy-Preserving Image Synthesis.
Proceedings of the 22nd IEEE International Conference on Trust, 2023
Proceedings of the 22nd IEEE International Conference on Trust, 2023
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023
Proceedings of the Provable and Practical Security, 2023
Privacy-Preserving Federated Learning with Hierarchical Clustering to Improve Training on Non-IID Data.
Proceedings of the Network and System Security - 17th International Conference, 2023
Credit-based Differential Privacy Stochastic Model Aggregation Algorithm for Robust Federated Learning via Blockchain.
Proceedings of the 52nd International Conference on Parallel Processing, 2023
Proceedings of the Computer Security - ESORICS 2023, 2023
2022
IEEE Trans. Dependable Secur. Comput., 2022
Proceedings of the Security and Privacy in Social Networks and Big Data, 2022
Proceedings of the Algorithms and Architectures for Parallel Processing, 2022
Proceedings of the Cyberspace Safety and Security - 14th International Symposium, 2022
2021
Packet-Sequence and Byte-Distribution is Enough for Real-Time Identification of Application Traffic.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021
Rectifying Pseudo Labels: Iterative Feature Clustering for Graph Representation Learning.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Towards Practical Privacy-Preserving Decision Tree Training and Evaluation in the Cloud.
IEEE Trans. Inf. Forensics Secur., 2020
Towards an Efficient Privacy-Preserving Decision Tree Evaluation Service in the Internet of Things.
Symmetry, 2020
Proceedings of the Information Security and Privacy - 25th Australasian Conference, 2020
2019
Toward Highly Secure Yet Efficient KNN Classification Scheme on Outsourced Cloud Data.
IEEE Internet Things J., 2019
Proceedings of the Machine Learning for Cyber Security - Second International Conference, 2019
2018
Privacy-Preserving Mining of Association Rule on Outsourced Cloud Data from Multiple Parties.
Proceedings of the Information Security and Privacy - 23rd Australasian Conference, 2018