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
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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!
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CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
Jiamu Zheng, Jinghuai Zhang, Tianyu Du, Xuhong Zhang, Jianwei Yin, Tao Lin
ICLR 2025
[PDF]
[Code]
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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]
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BadMerging: Backdoor Attacks Against Model Merging
Jinghuai Zhang, Jianfeng Chi, Zheng Li, Kunlin Cai, Yang Zhang, Yuan Tian
ACM CCS 2024
[PDF]
[Code]
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Data Poisoning based Backdoor Attacks to Contrastive Learning
Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong
CVPR 2024
[PDF]
[Code]
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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]
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Evading Watermark based Detection of AI-Generated Content
Zhengyuan jiang*, Jinghuai Zhang*, Neil Zhenqiang Gong (*equal contribution)
ACM CCS 2023
[PDF]
[Code]
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PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees
Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong
CVPR 2023
[PDF]
[Code]
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Publications before graduate study
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Multimodal Motion Prediction with Stacked Transformer
Yicheng Liu*, Jinghuai Zhang*, Liangji Fang, Qinhong Jiang, Bolei Zhou (*equal contribution)
CVPR 2021
[PDF]
[Code]
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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]
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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
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Teaching Experience
- EC ENGR 209AS Trustworthy Artificial Intelligence (Spring 2024, UCLA)
- CPS230 Discrete Mathematics for Computer Science (Spring 2022 and Fall 2022, Duke University)
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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
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Industry Experience
- Google Student Researcher (December 2024-March 2025, Google, Mountain View)
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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.
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