Tianpei Lu

Orcid: 0009-0007-2360-0470

According to our database1, Tianpei Lu authored at least 12 papers between 2023 and 2025.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Privacy-Preserving Inference for Quantized BERT Models.
CoRR, August, 2025

Accelerating Private Large Transformers Inference Through Fine-Grained Collaborative Computation.
IEEE Trans. Inf. Forensics Secur., 2025

A New Paradigm for Privacy-Preserving Decision Tree Evaluation.
IACR Cryptol. ePrint Arch., 2025

CostSphere: A Cost Model-Driven Privacy-Preserving Machine Learning Framework with Network Context Adaptation.
IACR Cryptol. ePrint Arch., 2025

Efficient 2PC for Constant Round Secure Equality Testing and Comparison.
Proceedings of the 34th USENIX Security Symposium, 2025

A New PPML Paradigm for Quantized Models.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

On Probabilistic Truncation in Privacy-preserving Machine Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
PrivData Network: A Privacy-Preserving On-Chain Data Factory and Trading Market.
IEEE Trans. Dependable Secur. Comput., 2024

Efficient 2PC for Constant Round Secure Equality Testing and Comparison.
IACR Cryptol. ePrint Arch., 2024

The Communication-Friendly Privacy-Preserving Machine Learning against Malicious Adversaries.
CoRR, 2024

2023
Multi-Party Private Function Evaluation for RAM.
IEEE Trans. Inf. Forensics Secur., 2023

UC Secure Private Branching Program and Decision Tree Evaluation.
IEEE Trans. Dependable Secur. Comput., 2023


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