Tianshi Xu

PhD Student (2023)

Peking University

兴趣爱好
  • Efficient and Private AI Algorithm & Protocol
教育经历
  • B.S. in Software Enigneering, 2023

    Beihang University

Publications

(2024). PrivCirNet: Efficient Private Inference via Block Circulant Transformation. In Conference on Neural Information Processing Systems (NeurIPs) 2024.

论文

(2024). FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference. In International Conference on Computer-Aided Design (ICCAD) 2024.

论文

(2024). PrivQuant: Communication-Efficient Private Inference with Quantized Network/Protocol Co-Optimization. In International Conference on Computer-Aided Design (ICCAD) 2024.

论文

(2024). FastQuery: Communication-efficient Embedding Table Query for Private LLMs inference. In Design Automation Conference (DAC) 2024.

论文

(2023). Falcon: Accelerating Homomorphically Encrypted Convolutions for Efficient Private Mobile Network Inference. In ACM/IEEE International Conference on Computer Aided Design (ICCAD) 2023.

论文

(0001). Swift: Fast Secure Neural Network Inference with Fully Homomorphic Encryption.