(Include but not limited to)
Track 1: Financial Technology and Digital Financial Innovation
Privacy protection and data governance strategies in fintech
Risk management and compliance framework for fintech enterprises
Data protection practices and regulatory compliance in financial services
Cybersecurity threats and incident response in fintech
Application and impact of artificial intelligence in financial security protection
Security guarantees for digital transactions and anti-fraud technologies
Application of blockchain and distributed ledgers in the financial sector
Security challenges of digital currencies and digital asset management
Financial regulatory technology (RegTech) and compliance automation
Open banking and API security
User rights and privacy balance in fintech innovation
Cybersecurity insurance and financial risk mitigation
Security governance culture and best practices of financial institutions
User rights and privacy balance in fintech innovation
Cybersecurity insurance and financial risk mitigation
Security governance of financial institutions and best practices
Supply chain security and third-party risk management in fintech innovation
Track 2: Privacy Computing Theory and Technology
Programming languages and compilers for privacy computing
Metrics and formal methods for privacy computing
Privacy perception and privacy classification/ontology
Privacy inference and reasoning
Privacy operations and basic primitives
Privacy control and protection for data analysis
Privacy-aware information collection
Privacy-protected data release
Private data deletion technology
Privacy protection capability assessment
Privacy protection in scenarios such as social networks, Internet of Things, Web, cloud, location, and healthcare
Privacy-enhancing technologies (PETs) and their applications in finance and healthcare
Deployment of differential privacy in financial scenarios
Decentralized identity (DID) and autonomous sovereign identity (SSI)
User-side privacy control and privacy preference management
Automated tools for privacy impact assessment (PIA)
Track 3: Data Security and Trusted Computing
Confidential computing and trusted computing
Secure multi-party computation (SMPC)
Encrypted data computing
Privacy protection based on cryptography
Authentication and access control
Data sharing control and data usage control
Data backup and recovery
Data security compliance testing
Data governance and data rights
Anonymized communication and anti-censorship technologies
Digital forensics
Post-quantum cryptography and applied cryptography
Data privacy models, metrics, and enhancement technologies
Software and system security
Supply chain security
Network attack and intrusion defense
Data security audit and risk assessment
Internet of Things and edge computing security
......