Yuan Zhao

Orcid: 0009-0006-9633-9480

According to our database1, Yuan Zhao authored at least 16 papers between 2014 and 2025.

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

2025
GIF-FHE: A Comprehensive Implementation and Evaluation of GPU-Accelerated FHE With Integer and Floating-Point Computing Power.
IEEE Trans. Parallel Distributed Syst., July, 2025

Privacy-Preserving Decision Graph Inference From Homomorphic Lookup Table.
IEEE Trans. Dependable Secur. Comput., 2025

Gibbon: Faster Secure Two-party Training of Gradient Boosting Decision Tree.
Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ScaleOT: Privacy-utility-scalable Offsite-tuning with Dynamic LayerReplace and Selective Rank Compression.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Topgun: An ECC Accelerator for Private Set Intersection.
ACM Trans. Reconfigurable Technol. Syst., December, 2023

E-Booster: A Field-Programmable Gate Array-Based Accelerator for Secure Tree Boosting Using Additively Homomorphic Encryption.
IEEE Micro, 2023

Towards Faster Fully Homomorphic Encryption Implementation with Integer and Floating-point Computing Power of GPUs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2021
MORSE-STF: A Privacy Preserving Computation System.
CoRR, 2021

VIRSA: Vectorized In-Register RSA Computation with Memory Disclosure Resistance.
Proceedings of the Information and Communications Security - 23rd International Conference, 2021

2017
Utilizing the Double-Precision Floating-Point Computing Power of GPUs for RSA Acceleration.
Secur. Commun. Networks, 2017

2016
RegRSA: Using Registers as Buffers to Resist Memory Disclosure Attacks.
Proceedings of the ICT Systems Security and Privacy Protection, 2016

PhiRSA: Exploiting the Computing Power of Vector Instructions on Intel Xeon Phi for RSA.
Proceedings of the Selected Areas in Cryptography - SAC 2016, 2016

2014
Exploiting the Potential of GPUs for Modular Multiplication in ECC.
Proceedings of the Information Security Applications - 15th International Workshop, 2014

Exploiting the Floating-Point Computing Power of GPUs for RSA.
Proceedings of the Information Security - 17th International Conference, 2014


  Loading...