I’m currently a final-year CS Ph.D. student at the University of Kansas, advised by Prof. Bo Luo and Prof. Fengjun Li. I received my Bachelor’s degree in Math from Wuhan University in 2019. My research interests are within the broad areas of Cybersecurity and AI, including adversarial and privacy-preserving machine learning, AI SAFE (Safety, Accountability, Fairness, and Explainability), AI for Cybersecurity, and so on.

I am to join Boise State University as a Tenure-Track Assistant Professor in Fall 2024. I am looking for self-motivated students to join my group. Please contact me at {julianzy2024 AT gmail DOT com} if you are interested!

News

• April 3, 2024. Our paper “On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing” gets accepted to ACM CCS 2024.
• March 19, 2024. Our paper “PrivDNN: A Secure Multi-Party Computation Framework for Deep Learning using Partial DNN Encryption” gets accepted to PETS 2024. Congrats to Liangqin!
• Sep 14, 2023. Our paper “Certificate Transparency Revisited: The Public Inspections on Third-party Monitors” gets accepted to NDSS 2024.
• June 7, 2023. Our preprint “Check Me If You Can: Detecting ChatGPT-Generated Academic Writing using CheckGPT” is available. [Github][Huggingface]
• April 8, 2023. I will join Visa Inc. this summer as a PhD Research Scientist Intern working on machine learning and security.
• Aug 26, 2022. Our paper “LoneNeuron: a Highly-effective Feature-domain Neural Trojan using Invisible and Polymorphic Watermark” gets accepted to ACM CCS 2022.
• July 26, 2022. Our paper “Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems” gets accepted to ESORICS 2022.