Regular biography
Ji Shouling is a Full Professor in the Department of Computer Science at Zhejiang University. Their research focuses on AI and Security, Data-driven Security, Software and System Security, and Data Analytics. Ji holds a Ph.D. and serves as a doctoral supervisor. They are affiliated with the College of Computer Science and Technology and can be contacted via email at sji@zju.edu.cn. Their personal homepage provides additional information on research, publications, and courses.
Scholar-generated biography
Shouling Ji is a professor whose research focuses on Data-driven Security, AI Security, Software Security, and Privacy. His work explores adversarial examples in real-world applications, such as Textbugger, and develops techniques for fuzzers like {MOPT} and {UNIFUZZ}. Ji investigates privacy risks in language models and attacks on federated learning systems. He also contributes to traffic flow prediction using temporal multi-graph convolutional networks and develops security frameworks for deep learning models, including Deepsec. His research includes graph backdoor attacks, interpretable deep learning, and model-reuse attacks. Additionally, he explores smart contract vulnerabilities and audio adversarial attacks like Sirenattack. His work emphasizes security in AI systems and data privacy.