(The following topics include but are not limited to)
Track 1: Big Data Security
Big Data Encryption and Access Control Technologies
Data De-sensitization and Anonymization Methods
Data Leakage Detection and Traceability
Secure Multi-party Computation and Federated Learning
Differential Privacy Theory and Practice
Data Security Governance and Compliance
Blockchain and Trusted Data Sharing
Data Security Risk Assessment Model
Privacy-enhanced Data Publication
Big Data Platform Security Architecture
Cross-border Data Flow Security Mechanism
Emerging Data Security Threats and Defense
Track 2: Privacy Computing
Breakthroughs in Privacy Computing Theory
Optimization of Secure Multi-party Computation
Homomorphic Encryption Algorithms and Applications
Trusted Execution Environment Technology
Performance Acceleration of Privacy Computing
Standardization of Privacy Computing
Cross-institutional Privacy Computing Platform
Hardware Support for Privacy Computing
Privacy Computing Application Cases
Privacy Computing Regulatory Technology
Privacy Computing Ethical Research
Privacy Computing Applications in the Financial Field
Privacy Computing Solutions for Cross-border Business
Development of Artificial Intelligence Security Products
Privacy Computing Business Model
Metaverse Data Security Architecture
Open Source Privacy Computing Framework
Track 3: Artificial Intelligence
Artificial Intelligence Model Security
Adversarial Attacks and Defense
Interpretable Artificial Intelligence
Artificial Intelligence Privacy Risks
Artificial Intelligence Ethical Framework
Artificial Intelligence Algorithm Audit
Bias Governance in Artificial Intelligence Systems
Security Testing of Artificial Intelligence Systems
Intellectual Property Rights of Artificial Intelligence
Artificial Intelligence Regulatory Compliance
Artificial Intelligence Security Standards
Trusted Artificial Intelligence System
......