Guang Fan

Orcid: 0000-0002-5389-0823

Affiliations:
  • Ant Group, Hangzhou, China
  • Chinese Academy of Sciences, Institute of Information Engineering, State Key Laboratory of Information Security, Beijing, China


According to our database1, Guang Fan authored at least 20 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
An Efficient and Scalable Hardware Architecture for Number Theoretic Transform on FPGA with Design Automation.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

Falcon: Algorithm-Hardware Co-Design for Efficient Fully Homomorphic Encryption Accelerator.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

A Framework for Developing and Optimizing Fully Homomorphic Encryption Programs on GPUs.
Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

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

AsyncGBP${}^{+}$+: Bridging SSL/TLS and Heterogeneous Computing Power With GPU-Based Providers.
IEEE Trans. Computers, February, 2025

HAWK: Fully Homomorphic Encryption Accelerator with Fixed-Word Key Decomposition Switching.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

FAST: An FHE Accelerator for Scalable-parallelism with Tunable-bit.
Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

WarpDrive: GPU-Based Fully Homomorphic Encryption Acceleration Leveraging Tensor and CUDA Cores.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

ML-Cube: Accelerating Module-Lattice-Based Cryptography using Machine Learning Accelerators with a Memory-Less Design.
Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

The Future of Fully Homomorphic Encryption System: From a Storage I/O Perspective.
Proceedings of the Advanced Parallel Processing Technologies, 2025

2024
ConvKyber: Unleashing the Power of AI Accelerators for Faster Kyber with Novel Iteration-based Approaches.
IACR Cryptol. ePrint Arch., 2024

DPad-HE: Towards Hardware-friendly Homomorphic Evaluation using 4-Directional Manipulation.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

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

2022
EC-ECC: Accelerating Elliptic Curve Cryptography for Edge Computing on Embedded GPU TX2.
ACM Trans. Embed. Comput. Syst., 2022

TEGRAS: An Efficient Tegra Embedded GPU-Based RSA Acceleration Server.
IEEE Internet Things J., 2022

A Novel High-Performance Implementation of CRYSTALS-Kyber with AI Accelerator.
Proceedings of the Computer Security - ESORICS 2022, 2022

2021
SECCEG: A Secure and Efficient Cryptographic Co-processor Based on Embedded GPU System.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

TX-RSA: A High Performance RSA Implementation Scheme on NVIDIA Tegra X2.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Heterogeneous-PAKE: Bridging the Gap between PAKE Protocols and Their Real-World Deployment.
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020
SEGIVE: A Practical Framework of Secure GPU Execution in Virtualization Environment.
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020


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