I’m Zirui Gong, a PhD candidate at Griffith University, working in TrustAGI Lab, under the supervision of Dr. Leo Zhang, Prof. Shirui Pan, and Dr. Yanjun Zhang. My research is centered on uncovering security and privacy vulnerabilities in Federated Learning (FL) systems, with the goal of improving the resilience and trustworthiness of distributed machine learning.

Publications

• Zirui Gong, et al. “Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning”, in IEEE Symposium on Security and Privacy 2025 (S&P).
• Zirui Gong, et al. “Agramplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification”, IEEE Transactions on Information Forensics and Security (TIFS), vol. 19, 2023, pp. 1241–1250.
• Li, Yuqi*, Zirui Gong*, et al. “Production Evaluation of Citrus Fruits Based on the YOLOv5 Compressed by Knowledge Distillation”, in International Conference on Computer Supported Cooperative Work in Design (CSCWD).

Research Interests

• Federated Learning Security
• Privacy-Preserving Machine Learning
• Adversarial Attacks & Defenses
• Secure Distributed Systems

Contact

• 📧 Email: zirui.gong@griffithuni.edu.au
• 📍 Location: Gold Coast, QLD, Australia
• 🔗 Google Scholar