Chenghong Wang

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 38

Top Topics

Differential Privacy

Top Venues

SIGMOD Conference

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Shijin Duan, Chenghong Wang, Hongwu Peng, Yukui Luo, Wujie Wen, Caiwen Ding, Xiaolin Xu
SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud. CoRR (2024)
Chenghong Wang, Lina Qiu, Johes Bater, Yukui Luo
SPECIAL: Synopsis Assisted Secure Collaborative Analytics. CoRR (2024)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Shaoyi Huang, Xi Xie, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference. CoRR (2023)
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. CoRR (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. DAC (2023)
Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. CoRR (2023)
Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala
Private Proof-of-Stake Blockchains using Differentially-Private Stake Distortion. USENIX Security Symposium (2023)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Nuo Xu, Shijin Duan, Ran Ran, Jiahui Zhao, Chenghong Wang, Tong Geng, Wujie Wen, Xiaolin Xu, Caiwen Ding
PASNet: Polynomial Architecture Search Framework for Two-party Computation-based Secure Neural Network Deployment. CoRR (2023)
Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu
AQ2PNN: Enabling Two-party Privacy-Preserving Deep Neural Network Inference with Adaptive Quantization. MICRO (2023)
Hongwu Peng, Ran Ran, Yukui Luo, Jiahui Zhao, Shaoyi Huang, Kiran Thorat, Tong Geng, Chenghong Wang, Xiaolin Xu, Wujie Wen, Caiwen Ding
LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference. NeurIPS (2023)
Zeinab S. Jalali, Chenghong Wang, Griffin Kearney, Geng Yuan, Caiwen Ding, Yinan Zhou, Yanzhi Wang, Sucheta Soundarajan
Memristor-Based Spectral Decomposition of Matrices and Its Applications. IEEE Trans. Computers 72 (5) (2023)
Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala
Private Proof-of-Stake Blockchains using Differentially-private Stake Distortion. IACR Cryptol. ePrint Arch. 2023 (2023)
Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. ICCV (2023)
Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran
Variance of the Gradient Also Matters: Privacy Leakage from Gradients. IJCNN (2022)
Hongwu Peng, Shanglin Zhou, Yukui Luo, Shijin Duan, Nuo Xu, Ran Ran, Shaoyi Huang, Chenghong Wang, Tong Geng, Ang Li, Wujie Wen, Xiaolin Xu, Caiwen Ding
PolyMPCNet: Towards ReLU-free Neural Architecture Search in Two-party Computation Based Private Inference. CoRR (2022)
Chenghong Wang, Kun Wang, Zhu-Jun Zheng
Construction of a Family of Maximally Entangled Bases in ℂd ⊗ ℂd′. Entropy 24 (3) (2022)
Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy. SIGMOD Conference (2022)
Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala
IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy. CoRR (2022)
Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
A Secure and Efficient Federated Learning Framework for NLP. CoRR (2022)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
Against Membership Inference Attack: Pruning is All You Need. IJCAI (2021)
Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) (2021)
Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala
DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy. SIGMOD Conference (2021)
Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala
DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy. CoRR (2021)
Xi He, Jennie Rogers, Johes Bater, Ashwin Machanavajjhala, Chenghong Wang, Xiao Wang
Practical Security and Privacy for Database Systems. SIGMOD Conference (2021)
Fei-Yue Wang, Nanning Zheng, Li Li, Jingmin Xin, Xiao Wang, Linhai Xu, Bin Tian, Guozheng Wu, Zhaotian Zhang, Chenghong Wang, Long Chen
China's 12-Year Quest of Autonomous Vehicular Intelligence: The Intelligent Vehicles Future Challenge Program. IEEE Intell. Transp. Syst. Mag. 13 (2) (2021)
Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
TAG: Gradient Attack on Transformer-based Language Models. EMNLP (Findings) (2021)
Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran
MCMIA: Model Compression Against Membership Inference Attack in Deep Neural Networks. CoRR (2020)
Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran
SAPAG: A Self-Adaptive Privacy Attack From Gradients. CoRR (2020)
Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding
ESMFL: Efficient and Secure Models for Federated Learning. CoRR (2020)
Yanping Zhang, Chenghong Wang, David Pujol, Johes Bater, Matthew Lentz, Ashwin Machanavajjhala, Kartik Nayak, Lavanya Vasudevan, Jun Yang
Poirot: private contact summary aggregation: poster abstract. SenSys (2020)
Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha
Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers. SIGMOD Conference (2020)
Li Li, Xiao Wang, Kunfeng Wang, Yilun Lin, Jingmin Xin, Long Chen, Linhai Xu, Bin Tian, Yunfeng Ai, Jian Wang, Dongpu Cao, Yuehu Liu, Chenghong Wang, Nanning Zheng, Fei-Yue Wang
Parallel testing of vehicle intelligence via virtual-real interaction. Sci. Robotics 4 (28) (2019)
Yichen Jiang, Jenny Hamer, Chenghong Wang, Xiaoqian Jiang, Miran Kim, Yongsoo Song, Yuhou Xia, Noman Mohammed, Md. Nazmus Sadat, Shuang Wang
SecureLR: Secure Logistic Regression Model via a Hybrid Cryptographic Protocol. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (1) (2019)
Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha
Outis: Crypto-Assisted Differential Privacy on Untrusted Servers. CoRR (2019)
Yichen Jiang, Chenghong Wang, Shuang Wang
Privacy-preserving biomedical data dissemination via a hybrid approach. AMIA (2018)
Chenghong Wang, Zeinab S. Jalali, Caiwen Ding, Yanzhi Wang, Sucheta Soundarajan
A Fast and Effective Memristor-Based Method for Finding Approximate Eigenvalues and Eigenvectors of Non-negative Matrices. ISVLSI (2018)
Chenghong Wang, Yichen Jiang, Feng Chen, Noman Mohammed, Xiaoqian Jiang, Md Momin Al Aziz, Md. Nazmus Sadat, Shuang Wang
SCOTCH: Secure Counting Of encrypTed genomiC data using a Hybrid approach. AMIA (2017)
Priya Govindan, Chenghong Wang, Chumeng Xu, Hongyu Duan, Sucheta Soundarajan
The k-peak Decomposition: Mapping the Global Structure of Graphs. WWW (2017)
Nanning Zheng, Jun Zhang, Chenghong Wang
Special issue on big data research in China. Knowl. Inf. Syst. 41 (2) (2014)
Changyin Sun, Chenghong Wang, Su Song, Yifan Wang
A local approach of adaptive affinity propagation clustering for large scale data. IJCNN (2009)
Zhuo Wang, Chenghong Wang, Su Song
An Improved Delay-dependent Stability Criteria for Recurrent Neural Networks with Time-varying Delay. ISIC (2008)
Cong Wang, Chenghong Wang, Su Song
Rapid Recognition of Dynamical Patterns via Deterministic Learning and State Observation. ISIC (2007)
Cong Wang, Tengfei Liu, Chenghong Wang
Deterministic Learning and Pattern-Based NN Control. ISIC (2007)
Wei-Hua Lin, Chenghong Wang
An enhanced 0-1 mixed-integer LP formulation for traffic signal control. IEEE Trans. Intell. Transp. Syst. 5 (4) (2004)