Publications
Conference
2023
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C13. LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, S. Huang, K. Thorat, T. Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
Neural Information Processing Systems (NeurIPS 2023), 2023 -
C12. Private Proof-of-Stake Blockchains using Differentially-Private Stake Distortion
Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala
Usenix Security Symposium (Security), 2023 -
C11. 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
International Symposium on Microarchitecture (MICRO), 2023 -
C10. 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
International Conference on Computer Vision (ICCV), 2023 -
C9. 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
Design Automation Conference (DAC), 2023
2022
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C8. IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy
Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala
International Conference on Management of Data (SIGMOD), 2022
2021
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C7. DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy
Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala
International Conference on Management of Data (SIGMOD), 2021 -
C6. Tag: Gradient Attack on Transformer-based Language Models
Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
Empirical Methods in Natural Language Processing (EMNLP), 2021 -
C5. 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, S. Rajasekaran, C. Ding
Empirical Methods in Natural Language Processing (EMNLP Oral), 2021 -
C4. 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
International Joint Conferences on Artificial Intelligence (IJCAI), 2021
2020
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C3. Crypt$\epsilon$:Crypto-Assisted Differential Privacy on Untrusted Servers
Amrita Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha
International Conference on Management of Data (SIGMOD), 2020
Before 2018
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C2. Privacy-preserving Biomedical Data Dissemination via a Hybrid Approach
Chenghong Wang+, Yichen Jiang+, Zhixuan Wu, Xin Du, Shuang Wang
American Medical Informatics Association (AMIA), 2018 -
C1. The k-peak decomposition: Mapping the Global Structure of Graphs
Priya Govindan, Chenghong Wang, Chumeng Xu, Hongyu Duan, Sucheta Soundarajan
The Web Conference (WWW), 2017
Journal
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J3. 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
IEEE Transactions on Computers, 2022 -
J2. 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
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018 -
J1. 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
BMC Medical Genomics, 2017
For the complete list, please refer to my Google Scholar