Lin Liu

Orcid: 0000-0002-5930-8881

Affiliations:
  • National University of Defense Technology, College of Computer, Changsha, Hunan, China (PhD 2020)


According to our database1, Lin Liu authored at least 21 papers between 2018 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
BVDFed: Byzantine-resilient and verifiable aggregation for differentially private federated learning.
Frontiers Comput. Sci., October, 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

BFCRI: A Blockchain-Based Framework for Crowdsourcing With Reputation and Incentive.
IEEE Trans. Cloud Comput., 2023

EVS2vec: A Low-dimensional Embedding Method for Encrypted Video Stream Analysis.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

Privacy Preserving Outsourced K-means Clustering Using Kd-tree.
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

Secure Approximate Nearest Neighbor Search with Locality-Sensitive Hashing.
Proceedings of the Computer Security - ESORICS 2023, 2023

2022
SecRec: A Privacy-Preserving Method for the Context-Aware Recommendation System.
IEEE Trans. Dependable Secur. Comput., 2022

pCOVID: A Privacy-Preserving COVID-19 Inference Framework.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

Substitution Attacks Against Sigma Protocols.
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

Privacy-Preserving Swarm Learning Based on Homomorphic Encryption.
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

SHOSVD: Secure Outsourcing of High-Order Singular Value Decomposition.
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

Secure and Fast Decision Tree Evaluation on Outsourced Cloud Data.
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


  Loading...