Guopeng Lin

Orcid: 0000-0001-8825-1987

According to our database1, Guopeng Lin authored at least 8 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Bifrost: A Much Simpler Secure Two-Party Data Join Protocol for Secure Data Analytics.
Proc. VLDB Endow., February, 2026

2025
IDCloak: A Practical Secure Multi-party Dataset Join Framework for Vertical Privacy-preserving Machine Learning.
CoRR, June, 2025

HawkEye: Statically and Accurately Profiling the Communication Cost of Models in Multi-party Learning.
Proceedings of the 34th USENIX Security Symposium, 2025

Is MPC Secure? Leveraging Neural Network Classifiers to Detect Data Leakage Vulnerabilities in MPC Implementations.
Proceedings of the IEEE Symposium on Security and Privacy, 2025

Kona: An Efficient Privacy-Preservation Framework for KNN Classification by Communication Optimization.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
Ruyi: A Configurable and Efficient Secure Multi-Party Learning Framework With Privileged Parties.
IEEE Trans. Inf. Forensics Secur., 2024

Ents: An Efficient Three-party Training Framework for Decision Trees by Communication Optimization.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2022
pMPL: A Robust Multi-Party Learning Framework with a Privileged Party.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022


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