The topics of interest for submission include, but are not limited to:
◕ Track1: Machine Learning Theories and Methods
Supervised and Unsupervised Learning
Deep Learning
Reinforcement Learning
Transfer Learning and Federated Learning
Few-shot and Self-supervised Learning
Model Optimization and Training Techniques
Interpretability in Machine Learning
Trustworthy Machine Learning
Distributed and Parallel Learning
◕ Track 2: Data Security and Privacy Protection
Data Privacy and Protection Mechanisms
Encryption and Secure Computation
Federated Learning Security
Differential Privacy
Data Access Control
Data Sharing and Compliance
Privacy-Enhancing Technologies
Secure Data Management
Data Security Governance
◕ Track 3: Intelligent Perception and Data Analytics
Multimodal Data Processing
Pattern Recognition
Data Mining
Large-scale Data Analysis
Real-time Data Processing
Complex Network Analysis
Spatiotemporal Data Analysis
Intelligent Prediction and Decision Making
Anomaly Detection
◕ Track 4: Network and System Security
Network Security
Intrusion Detection and Prevention
Malware Analysis
Identity Authentication
Cloud Computing Security
Edge Computing Security
Internet of Things Security
System Reliability
Information Security Management
◕ Track 5: Machine Learning Security Applications
Adversarial Machine Learning
Model Security and Robustness
AI Security Risk Assessment
Automated Threat Detection
Security Situational Awareness
Fraud Detection
Content Security
Biometric Recognition Security
Intelligent System Security
◕ Track 6: Artificial Intelligence and Interdisciplinary Innovation
AI and Cyberspace Security
Smart City and Security
Industrial Intelligence and Security
FinTech and Risk Control
Medical Data Intelligence
Blockchain and Data Security
Human–Machine Collaboration
Trustworthy Digital Infrastructure
Emerging Computing Paradigms