🔬 Dedicated to Making AI Trustworthy, Secure, and Fair 🤖
"Making AI responsible is even more important than developing AI itself."
We are the Responsible AI (RAI) Lab at Florida State University, led by Prof. Yushun Dong. Our research sits at the intersection of AI Security, AI Fairness, and Graph Intelligence — working toward AI systems that are not only powerful, but trustworthy.
| Area | Topics |
|---|---|
| 🔐 AI Security & Privacy | Model Extraction Attacks & Defenses, Adversarial Robustness, LLM Security |
| 🕸️ Graph Neural Networks | GNN Robustness, Graph-based Model Fingerprinting, Structural Learning |
| 🤝 Responsible AI | Fairness, Explainability, Certified Defenses |
| 🌍 AI for Science | Disaster Prediction, Wildfire Risk, Typhoon Forecasting |
| Repository | Description | Stars |
|---|---|---|
| 🧠 LangSkills | Language skills evaluation for LLMs |  |
| 🌪️ TyphoFormer | 🏆 Best Short Paper @SIGSPATIAL'25 · LLM-Augmented Typhoon Prediction |  |
| ⚔️ ATOM | Detecting Query-Based Model Extraction Attacks on GNNs |  |
| 🔬 PyGIP | Graph Intelligence & Privacy Framework |  |
| 🔥 PyHazards | AI-Powered Hazard Prediction & Risk Assessment Framework |  |
- 🥇 Best Short Paper Award — ACM SIGSPATIAL 2025 · TyphoFormer
- 🥈 Second Prize — ICDM 2025 BlueSky Track
- 📝 Publications at ICML / KDD / AAAI / ICLR / WSDM / EMNLP and more
We are actively recruiting PhD students, research interns, and visiting scholars!
If you are passionate about Responsible AI, security, or AI for social good, we'd love to hear from you.
📩 yushun.dong@fsu.edu · 🌐 Lab Website · 📋 Open Projects
RAI Lab · Department of Computer Science · Florida State University