Publications

NSDI ’27

Lab-ledParsecDB: Unlocking Efficient Parallelism in Two-party Secret-shared Databases

Jianzhang Du, Hao Qi, Chenghong Wang, Xiaoyi Lu

IEEE S&P ’27

Lab-ledTowards Practical Oblivious Relational Analytics with Heterogeneous TEE

Weijie Huang, Chenghong Wang, XiaoFeng Wang

CCS ’26

Lab-ledHoss: Fast Oblivious Semantic Search with Heterogeneous GPU-CPU-TEE Architecture

Jianzhang Du, Weijie Huang, Chenghong Wang, Nicolas Tsagareli, Yukui Luo, XiaoFeng Wang, Zhongshu Gu

SC ’26

MPCAR: Scalable and Secure Multi-Party Computation-based AllReduce

Hao Qi, Weicong Chen, Chenghong Wang, Caiwen Ding, Xiaoyi Lu

CCS ’25

Lab-ledBOLT: Bandwidth-Optimized Lightning-Fast Oblivious Map powered by Secure HBM Accelerators

Yitong Guo, Hongbo Chen, Haobin Chen, Yukui Luo, XiaoFeng Wang, Chenghong Wang

SC ’25

DPAR: High-Performance, Secure, and Scalable Differential Privacy-based AllReduce

Hao Qi, Weicong Chen, Chenghong Wang, Xiaoyi Lu

USENIX Security ’25

Lab-ledPICACHV: Formally Verified Enforcement for Data in Use Policies for Data Analytics

Haobin Chen, Hongbo Chen, Mingshen Sun, Chenghong Wang, XiaoFeng Wang

VLDB ’24

Lab-ledSPECIAL: Synopsis Assisted Secure Collaborative Analytics

Chenghong Wang, Lina Qiu, Johes Bater, Yukui Luo

NeurIPS ’23

LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference

Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kaleel Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding

USENIX Security ’23

Lab-ledPrivate Proof-of-Stake Blockchains using Differentially-Private Stake Distortion

Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala

MICRO ’23

AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization

Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu

ICCV ’23

AutoReP: Automatic ReLU Replacement for Fast Private Network Inference

Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tong Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding

DAC ’23

PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment

Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding

SIGMOD ’22

IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy

Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala

IEEE TC ’22

Memristor-Based Spectral Decomposition of Matrices and Its Applications

Zeinab S. Jalali, Chenghong Wang, Griffin Kearney, Geng Yuan, Caiwen Ding, Yinan Zhou, Yanzhi Wang, Sucheta Soundarajan

SIGMOD ’21

DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy

Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala

EMNLP Findings ’21

TAG: Gradient Attack on Transformer-based Language Models

Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding

EMNLP ’21

A Secure and Efficient Federated Learning Framework for NLP

Chenghong Wang*, Jieren Deng*, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding

IJCAI ’21

Against Membership Inference Attack: Pruning is All You Need

Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran

SIGMOD ’20

Cryptε: Crypto-Assisted Differential Privacy on Untrusted Servers

Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha

AMIA ’18

Privacy-preserving Biomedical Data Dissemination via a Hybrid Approach

Chenghong Wang*, Yichen Jiang*, Zhixuan Wu, Xin Du, Shuang Wang

IEEE/ACM TCBB ’18

SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol

Yichen Jiang*, Jenny Hamer*, Chenghong Wang*, Xiaoqian Jiang, Miran Kim, Yongsoo Song, Yuhou Xia, Noman Mohammed, Md Nazmus Sadat, Shuang Wang

WWW ’17

The k-peak decomposition: Mapping the Global Structure of Graphs

Priya Govindan, Chenghong Wang, Chumeng Xu, Hongyu Duan, Sucheta Soundarajan

BMC Med. Genomics ’17

PRESAGE: Privacy-preserving genetic testing via Software Guard Extension

F. Chen, C. Wang, W. Dai, X. Jiang, N. Mohammed, M. Aziz, M. Sadat, C. Sahinalp, K. Lauter, S. Wang