I am currently a Postdoc researcher with the SprintML Lab at CISPA, working with Dr. Franziska Boenisch and Dr. Adam Dziedzic. Prior to that, I obtained my PhD degree with the Cybersecurity group at Delft University of Technology under the supervision of Prof.dr.ir. Inald Lagendijk, Dr. Stjepan Picek and Dr. Frans A. Oliehoek.

I am currently on the job market! either in industry or academia

Research Interests

• Security and Privacy of Machine Learning
• Large Language Models
• Graph Neural Networks

What’s New

• [2024.11] I gave a talk at Hangzhou Dianzi University, Hangzhou, China.
• [2024.05] I successfully defended my PhD thesis, “Connecting the Dots: Exploring Backdoor Attacks on Graph Neural Networks”, on May 13, 2024, at TU Delft.
• [2023.11] I joined the CISPA as a Postdoc from November 15, 2023. I am so happy to work with Franziska and Adam.
• [2023.02] Our paper titled “Watermarking Graph Neural Networks based on Backdoor Attacks” got accepted in EuroS&P 2023. See you in Delft!
• [2022.09] Our paper titled “More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks” got accepted in ACSAC 2022. See you in Austin!

Selected Publications

• POST: A Framework for Privacy of Soft-prompt Transfer. Xun Wang, Jing Xu, Franziska Boenisch, Michael Backes, Adam Dziedzic; ICML 2024 Next Generation of AI Safety Workshop, 2024. [PDF]
• Watermarking Graph Neural Networks based on Backdoor Attacks. Jing Xu, Stefanos Koffas, Oguzhan Ersoy, Stjepan Picek; Euro S&P 2023. [arXiv]
• More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks. Jing Xu, Rui Wang, Kaitai Liang, Stjepan Picek; ACSAC 2022. [arXiv]
• Explainability-based backdoor attacks against graph neural networks. Jing Xu, Minhui(Jason) Xue, Stjepan Picek; WiseML 2021. [arXiv]