Jinghuai Zhang

Hi, this is Jinghuai Zhang. I'm a second-year Ph.D. Student in the ECE department at UCLA, working with Prof. Yuan Tian.

I received my Master and Bachelar Degree in Computer Science from Duke University and City University of Hong Kong, respectively, where I was fortunate to be advised by Prof. Zhenqiang Gong Neil and Prof. Jianping Wang.

I am broadly interested in the machine learning, security, and privacy with a recent focus on the intersection between them.

Email / Google Scholar

News

One paper related to "crafting cryptographically signed screenshot deepfakes" is accepted by Usenix Security 2025!
One paper related to "collaborative knowledge editing for LLM" is accepted by ICLR 2025!
I will start my internship at Google. See you at San Jose!
One paper related to "backdoor attacks against model merging" is accepted by CCS 2024!
One paper related to "privacy risks of mobility data" is accepted by KDD 2024!
One paper related to "backdoor attacks against contrastive learning" is accepted by CVPR 2024!
One paper related to "adversarial attacks against image watermarking" is accepted by CCS 2023!

Selected Publications

CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin, Tao Lin
ICLR 2025
[PDF] [Code]

Chimera: Creating Digitally Signed Fake Photos by Fooling Image Recapture and Deepfake Detectors
Seongbin Park*, Alexander Vilesov*, Jinghuai Zhang, Hossein Khalili, Yuan Tian, Achuta Kadambi, Nader Sehatbakhsh (*equal contribution)
Usenix Security 2025
[PDF] [Code]

BadMerging: Backdoor Attacks Against Model Merging
Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian
ACM CCS 2024
[PDF] [Code]

Data Poisoning based Backdoor Attacks to Contrastive Learning
Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
CVPR 2024
[PDF] [Code]

Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation
Kunlin Cai, Jinghuai Zhang, Jinghuai Zhang, Will Shand, Zhiqing Hong, Guang Wang, Desheng Zhang, Jianfeng Chi, Yuan Tian
KDD 2024
[PDF] [Code]

Evading Watermark based Detection of AI-Generated Content
Zhengyuan jiang*, Jinghuai Zhang*, Neil Zhenqiang Gong (*equal contribution)
ACM CCS 2023
[PDF] [Code]

PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees
Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
CVPR 2023
[PDF] [Code]

Publications before graduate study

Multimodal Motion Prediction with Stacked Transformer
Yicheng Liu*, Jinghuai Zhang*, Liangji Fang, Qinhong Jiang, Bolei Zhou (*equal contribution)
CVPR 2021
[PDF] [Code]

A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving
Yifan Zhang*, Jinghuai Zhang*, Jindi Zhang, Jianping Wang, Kejie Lu, Jeff Hong (*equal contribution)
AAAI 2020 (Oral)
[PDF] [Code]

Honors

UCLA Graduate Student Fellowship 2024-2025
HKSAR Government Scholarship Fund Academic Award in 2018-2019 and 2019-2020
Hong Kong, China-Asia-Pacific Economic Cooperation Scholarship
Hong Kong Computer Society Student Sponsorship
Department of Computer Science Outstanding Student Scholarships
First-class honor graduate from City University of Hong Kong

Teaching Experience

EC ENGR 209AS Trustworthy Artificial Intelligence (Spring 2024, UCLA)
CPS230 Discrete Mathematics for Computer Science (Spring 2022 and Fall 2022, Duke University)

Services

Served as a peer reviewer for conferences including ICLR, ICML, ACL, ACMMM, IJCAI.
Served as a peer reviewer for journals including TDSC, TNNLS, RA-L TOPS.
Served on the posters program committee for USENIX Security'24.
Served as a program coordinator for LACC 2024

Industry Experience

Google Student Researcher (December 2024-March 2025, Google, Mountain View)

Personal

I love to play the guitar and go traveling in my spare time. Also, I was the record-holder of 3000 metres race in my middle school.

Credits to Jon Barron for the website design.