Wen-jie Lu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
SAFE: A Scalable Homomorphic Encryption Accelerator for Vertical Federated Learning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2025

BitGC Made (More) Efficient.
IACR Cryptol. ePrint Arch., 2025

Breaking the Layer Barrier: Remodeling Private Transformer Inference with Hybrid CKKS and MPC.
IACR Cryptol. ePrint Arch., 2025

PrivacyGo: Privacy-Preserving Ad Measurement with Multidimensional Intersection.
IACR Cryptol. ePrint Arch., 2025

M&M: Secure Two-Party Machine Learning through Efficient Modulus Conversion and Mixed-Mode Protocols.
IACR Cryptol. ePrint Arch., 2025

Secure Transformer Inference Made Non-interactive.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

BumbleBee: Secure Two-party Inference Framework for Large Transformers.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024
Coral: Maliciously Secure Computation Framework for Packed and Mixed Circuits.
IACR Cryptol. ePrint Arch., 2024

Nimbus: Secure and Efficient Two-Party Inference for Transformers.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

<i>Coral: </i> Maliciously Secure Computation Framework for Packed and Mixed Circuits.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023
More Efficient Secure Matrix Multiplication for Unbalanced Recommender Systems.
IEEE Trans. Dependable Secur. Comput., 2023

CipherGPT: Secure Two-Party GPT Inference.
IACR Cryptol. ePrint Arch., 2023

FFT-less TFHE: Simpler, Faster and Scale-invariant.
IACR Cryptol. ePrint Arch., 2023

PUMA: Secure Inference of LLaMA-7B in Five Minutes.
CoRR, 2023

Squirrel: A Scalable Secure Two-Party Computation Framework for Training Gradient Boosting Decision Tree.
Proceedings of the 32nd USENIX Security Symposium, 2023

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CHAM: A Customized Homomorphic Encryption Accelerator for Fast Matrix-Vector Product.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Cheetah: Lean and Fast Secure Two-Party Deep Neural Network Inference.
Proceedings of the 31st USENIX Security Symposium, 2022

2021
PEGASUS: Bridging Polynomial and Non-polynomial Evaluations in Homomorphic Encryption.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

2020
Falcon: Fast Spectral Inference on Encrypted Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

HomoPAI: A Secure Collaborative Machine Learning Platform based on Homomorphic Encryption.
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

Faster Secure Multiparty Computation of Adaptive Gradient Descent.
Proceedings of the PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice, 2020

Privacy-preserving collaborative machine learning on genomic data using TensorFlow.
Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2019
Covert Security with Public Verifiability: Faster, Leaner, and Simpler.
Proceedings of the Advances in Cryptology - EUROCRYPT 2019, 2019

2011
Robust L2-L∞ guaranteed cost filter for a class of uncertain systems with distributed delays.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011

Fault-tolerant guaranteed cost control based on T-S fuzzy systems with the sensor fault and time-delay.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2011


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