Publications

Working Papers

Short Proofs for Differentially Private Queries
Sebastian Meiser*, Srinivasan Raghuraman*, Chenghong Wang*+
(* alphabet order, + student author)
U.S. patent filing in progress by Visa Inc.

Efficient Secret Single Leader Election through Threshold Homomorphic Encryption
Ittai Abraham*, Kartik Nayak*, Chenghong Wang*+, Avishay Yanai*
(* alphabet order, + student author)

Conference Papers

DyQuantNN: High Performance Private Deep Neural Networks on FPGA with Dynamic Quantization
Yukui Luo, Nuo Xu, Hongwu Peng, Chenghong Wang, Shijin Duan, Kaleel Mahmood, Wujie Wen, Caiwen Ding, Xiaolin Xu
Under Review, 2023

Private Proof-of-Stake Blockchains using Differentially-Private Stake Distortion
Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala
Under Review, 2023

IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy
Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala
Published in SIGMOD, 2022
[Paper] [Arxiv] [Github]

DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy
Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala
Published in SIGMOD, 2021
[Paper] [Arxiv] [Github]

Tag: Gradient Attack on Transformer-based Language Models
Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
Published in Findings of EMNLP, 2021
[Paper]

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
Published in EMNLP, 2021 (Oral Presentation, * Equal contribution)
[Paper]

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
Published in IJCAI, 2021
[Paper]

Crypt\(\epsilon\):Crypto-Assisted Differential Privacy on Untrusted Servers
Amrita Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha
Published in SIGMOD, 2020
[Paper] [Arxiv] [PriML version] [Github]

Privacy-preserving Biomedical Data Dissemination via a Hybrid Approach
Chenghong Wang*, Yichen Jiang*, Zhixuan Wu, Xin Du, Shuang Wang
Publised in AMIA, 2018 (* Equal contribution)
[Paper]

The k-peak decomposition: Mapping the Global Structure of Graphs
Priya Govindan, Chenghong Wang, Chumeng Xu, Hongyu Duan, Sucheta Soundarajan
Published in WWW, 2017
[Paper]

Journal Papers

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
Published in IEEE Trans. on Computers, 2022
[Paper]

Evaluation of privacy risks of patients’ data in China: Case study.
Mengchun Gong Shuang Wang, Lezi Wang, Chao Liu, Jianyang Wang, Qiang Guo, Hao Zheng, Kang Xie, Chenghong Wang, and Zhouguang Hui
Published in JMIR Medical Informatics, 2020
[Paper]

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
Published in IEEE/ACM TCBB, 2019 (* Equal contribution)
[Paper]

PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension
Feng Chen, Chenghong Wang, W. Dai, Xiaoqian Jiang, N. Mohammed, M. Aziz, M. Sadat, Cenk Sahinalp, Kristin Lauter, Shuang Wang
Published in BMC Medical Genomics, 2017
[Paper]

WorkshopsPostersTutorials

Private Proof-of-Stake Block-chains using Differentially-Private Stake Distortion.
Chenghong Wang, David Pujol, Kartik Nayak, Ashwin Machanavajjhala
Crypto Economics Security Conference(CESC), 2022. [link]

(Tutorial) Practical security and privacy for database systems.
Xi He, Jennie Rogers, Johes Bater, Ashwin Machanavajjhala, Chenghong Wang, Xiao Wang,
SIGMOD, 2021 [link]

Poirot: Private Contact Summary Aggregation.
Chenghong Wang, David Pujol, Yaping Zhang, Johes Bater, Matthew Lentz, Ashwin Machanavajjhala, Kartik Nayak, Lavanya Vasudevan, Jun Yang
PPML, 2021 [link]

SOGDB\(\epsilon\): Secure Outsourced Growing Database with Differentially Private Record Update.
Chenghong Wang, Kartik Nayak, Ashwin Machanavajjhala
TPDP, 2020 [link]

(Poster) Poirot: private contact summary aggregation.
Yaping Zhang, Chenghong Wang, David Pujol, Johes Bater, Matthew Lentz, Ashwin Machanavajjhala, Kartik Nayak, Lavanya Vasudevan, Jun Yang
SenSys, 2020 [link]

Crypt\(\epsilon\):Crypto-Assisted Differential Privacy on Untrusted Servers.
Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha
PriML, 2020 [link]]