BrainstormX Lab
Dedicated to cutting-edge research and engineering practice in cybersecurity
About Us
BrainstormX Lab is a student-led technical innovation team deeply rooted in the field of cybersecurity. We are committed to integrating cutting-edge artificial intelligence technologies with traditional security techniques. Guided by the philosophy of “Technology drives security, innovation protects the future”, we conduct original research and practical applications in core areas including offensive and defensive confrontation, multimedia security, AI security, and data privacy.
Our members have won numerous awards in national and provincial cybersecurity competitions. We also undertake multiple university-industry collaborative research projects and have developed several security tools and systems with practical application value. We encourage open collaboration and bold exploration, providing a platform for technical growth and innovative practice for students passionate about cybersecurity.
Core Research Areas
Granular computing and applications
- Theoretical research on granular computing
- Multi-granularity computation and fusion
- Cross-granularity inference and transformation
- Granular ball computing and its applications
Industrial data mining
- Multi-source heterogeneous industrial data analysis
- Long-tail data analysis and mining
- Time-series fault data association rule mining
- Energy Data Mining and Analysis
- Industrial Information Security
AI Security and Adversarial Machine Learning
- Adversarial example generation and defense for deep neural networks
- Model stealing, poisoning attacks and detection techniques
- Deepfake content recognition and provenance tracing
- Large language model security and alignment
Lightweight AI Secure Deployment
- Edge device on-device secure inference
- Deep learning model compression and acceleration
- Embedded system security protection
- Cloud-edge collaborative security architecture
Data Security and Privacy Protection
- Federated learning and distributed secure computing
- Differential privacy technology applications
- Sensitive data anonymization and encryption
- Blockchain security and privacy enhancement
Join Us
We are always recruiting passionate undergraduate and graduate students interested in Cybersecurity, Granular Computing, and Industrial Data Mining. Whether you are a beginner with no prior experience or an experienced security researcher, you will find a suitable growth path here.
Recruitment Areas: Granular Computing, Machine Learning, Industrial Data Mining, Internet of Things, and Decentralized Federated Learning, et, al.
e-mail：daiqi0622@ncst.edu.cn