About me

I am a Ph.D. student at the School of Cyber Science and Technology of Beihang University. My research mainly focuses on privacy-preserving computations and applied cryptography, such as fully homomorphic encryption (FHE). I enjoy the theoretical algorithms and the practical applications of advanced cryptographic primitives to build solutions for diverse privacy-preserving computation tasks.

Publications

  • Zhou Zhang, Song Bian, Zian Zhao, Ran Mao, Haoyi Zhou, Jiafeng Hua, Yier Jin, and Zhenyu Guan, ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption, ACM Conference on Computer and Communications Security (CCS), October 2024. [pdf] [code]
  • Luchang Lei, Yongqing Zhu, Xinhang Zou, Yifan He, Zhou Zhang, Zhenyu Guan, Huazhong Yang, Yongpan Liu, Song Bian, and Hongyang Jia, An eDRAM-Based In-Situ-Computing Processor for Homomorphic Encryption Evaluation on the Edge, European Solid-State Electronics Research Conference (ESSERC), September 2024 (to appear).
  • Song Bian, Zian Zhao, Zhou Zhang, Ran Mao, Kohei Suenaga, Yier Jin, Zhenyu Guan, and Jianwei Liu, HEIR: A Unified Representation for Cross-Scheme Compilation of Fully Homomorphic Computation, Network and Distributed System Security Symposium (NDSS), February 2024. [pdf] [code]
  • Zhenyu Guan, Ran Mao, Qianyun Zhang, Zhou Zhang, Zian Zhao, and Song Bian, AutoHoG: Automating Homomorphic Gate Design for Large-Scale Logic Circuit Evaluation, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), January 2024. [pdf] [code]
  • Song Bian, Zhou Zhang, Haowen Pan, Ran Mao, Zian Zhao, Yier Jin, and Zhenyu Guan, HE3DB: An Efficient and Elastic Encrypted Database Via Arithmetic-And-Logic Fully Homomorphic Encryption, ACM Conference on Computer and Communications Security (CCS), November 2023 (Distinguished Paper Award!). [pdf] [code]
  • Zhenyu Guan, Junpeng Jing, Xin Deng, Mai Xu, Lai Jiang, Zhou Zhang, Yipeng Li, DeepMIH: Deep Invertible Network for Multiple Image Hiding, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), January 2023. [pdf] [code]