Yancheng Zhang
yczhang [at] ucf (dot) edu

I am a Ph.D. student at the Center for Research in Computer Vision, University of Central Florida, advised by Prof. Chen Chen. Prior to that, I received my Bachelor's degree in Computer Science from Sichuan University in 2023. During my time as an undergraduate, I was fortunate to work with Prof. Jiancheng Lv on computer vision at the Data Intelligence and Computing Art Laboratory.

My research interests focus on computer vision and privacy-preserving machine learning. If you find any research interests that we might share, please feel free to reach out.

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News

Publication
blind-date DataSeal: Ensuring the Verifiability of Private Computation on Encrypted Data
Muhammad Husni Santriaji, Jiaqi Xue, Yancheng Zhang, Qian Lou and Yan Solihin
IEEE S&P, 2025

This work enhances the verifiability and integrity of private computation in FHE by incorporating algorithm-based fault tolerance.

blind-date HEBridge: Connecting arithmetic and logic operations in FV-style HE schemes
Yancheng Zhang, Xun Chen and Qian Lou
ACM CCS WAHC, 2024

This work enables the continuous evaluation of linear and non-linear operations within the BGV/BFV FHE schemes, enhancing their universality.

blind-date CryptoTrain: Fast Secure Training on Encrypted Dataset
Jiaqi Xue, Yancheng Zhang, Yanshan Wang, Xueqiang Wang, Hao Zheng, Qian Lou
ACM CCS LAMPS, 2024

This work accelerates FHE/MPC-based private training through correlation-aware polynomial convolution.

blind-date Encrypted Data Pruning for Confidential Training of Deep Neural Networks
Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou
NeurIPS, 2024

This work enhances FHE-based private training by incorporating and optimizing dynamic dataset pruning in the encrypted state.

blind-date CR-UTP: Certified Robustness against Universal Text Perturbations
Qian Lou, Xin Liang, Jiaqi Xue, Yancheng Zhang, Rui Xie, Mengxin Zheng
ACL, 2024

This work improves the certified robustness of language models against universal text perturbations through prompt search and ensemble methods.

blind-date Pure graph-guided multi-view subspace clustering
Hongjie Wu, Shudong Huang, Chenwei Tang, Yancheng Zhang, Jiancheng LV
Pattern Recognition, 2023

This work improves multi-view subspace clustering by leveraging the sparsity and connectivity of affinity graphs.

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Conference Reviewer: ICLR 2025.


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