Rate My Professor Shujie Cui

Dr. Shujie Cui is a Senior Lecturer in the Department of Software Systems and Cybersecurity at Monash University's Faculty of Information Technology, a position she has held since 2021. She earned her PhD in Computer Science from the University of Auckland, awarded on 10 June 2019 after studies from 2015 to 2018. Her academic background also includes a Master's degree in Computer Science from the University of Luxembourg as an exchange student (2012-2013), a Master's in Computer Technique from Shandong University (2011-2014), and a Bachelor's degree in Software Engineering from Shandong University (2007-2011). Prior to her current role, Cui served as a Postdoctoral Researcher in the Large-Scale Data & Systems group, Department of Computing, at Imperial College London, UK, from 2018 to 2020. Earlier, she worked as a Research Assistant at the City University of Hong Kong in summer 2014 under Associate Professor Duncan S. Wong.

Cui's research expertise encompasses applied cryptography, information security in cloud computing and distributed systems, trusted execution environments, privacy-preserving machine learning, data protection in various systems, and side-channel attacks. Her influential publications include "SGX-LKL: Securing the host OS interface for trusted execution" (2019, 153 citations), "Privacy‐preserving collaborative deep learning against leakage from gradient sharing" (2020, 51 citations), "Multi-CDN: Towards privacy in content delivery networks" (2018, 43 citations), "Towards blockchain-based scalable and trustworthy file sharing" (2018, 41 citations), "Scalable private decision tree evaluation with sublinear communication" (2022, 29 citations), "Privacy-preserving dynamic symmetric searchable encryption with controllable leakage" (2021, 23 citations), "Searchable encryption for conjunctive queries with extended forward and backward privacy" (2021, 23 citations), and recent contributions such as "CHIFRAUD: A Long-term Web Text Benchmark for Chinese Fraud Detection" (2025, COLING), "Privacy Risks of LLM-Empowered Recommender Systems: An Inversion Attack Perspective" (2025, RecSys), and "More Practical Non-interactive Encrypted Conjunctive Search with Leakage and Storage Suppression" (2025, ProvSec). With over 450 citations on Google Scholar, her scholarship advances secure computing paradigms. Cui leads the Efficient Weighted Threshold Signature project as Primary Chief Investigator (2025-2026) and contributes as Associate Investigator to CSIRO's Privacy-Preserving Machine Learning: Technology Development and Adoption (2023-2027) and Quantum Information Technology: Industry Readiness & Applications (2023-2027). She supervises higher degree research students on topics including privacy-preserving machine unlearning, searchable encryption, and federated learning for NLP and medical AI.