

Chenghong Wang
Department of Computer Science, Duke University
Ph.D. Candidate
Address: 308 Research Dr., Durham, NC, 27708
Tel: 424-324-7108
Email: cw374 (AT) duke (dot) edu
I am on the 2022-2023 academic job market.
CV | Research Statement | Teaching Statement | Diversity Statement
Biography
I am currently a 5th year Ph.D. student in the Department of Computer Science at Duke University and I am fortunate to be advised by Prof. Ashwin Machanavajjhala and Prof. Kartik Nayak. I am generally interested in the research area of Differential Privacy, Applied Cryptography, Distributes Systems (Blockchains) and Databases. My current research focus on building large-scale, functionally-rich, potentially distributed or decentralized, private databases with provable security and privacy. I also have a broadly collobration with domain experts from various areas: AI/ML, Hardwares, Healthcare, Biomedicine, Finance and Banking.
Latest News
Nov-01-22 I am giving a talk on “Private Proof-of-Stake Blockchains using Differentially-Private Stake Distortion” at CESC 2022.
Mar-08-22 Our paper (joint work with Johes, Kartik, and Ashwin) “IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy” has been accepted by SIGMOD 22.
April-29-21 New paper (joint work with Yijue et.al.) “Against Membership Inference Attack: Pruning is All You Need” has been accepted by IJCAI 21.
March-21-21 Our paper (with Johes, Kartik, and Ashwin) “DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy” has accepted by SIGMOD2021.
Aug-31-20 Our paper (with Kartik, and Ashwin) “Secure Outsourced Growing Database with Differentially Private Record Update” has accepted by TPDP2021.
Apr-20-20 We have launched an inovative project Poirot targeting for providing secure and private contact tracing related to COVID-19 pandemic.
Dec-19-19 Our work Crypt\(\epsilon\) has selected as Spotilight research to be presented at PriML@NeurIPS19
Nov-19-19 Our paper (with Amrita, Xi, Ashwin and Somesh) “Crypt\(\epsilon\): Crypto-Assisted Differential Privacy on Untrusted Server” has accepted by SIGMOD20