List of Topics

Topics of interest include, but are not limited to:

        Large Language models
        Social computing
        Machine learning with graphs
        Foundational, theoretical models for trust, privacy and security in emerging applications
        Trusted AI, Machine Learning and Deep Learning
        Privacy preserving Machine Learning and Deep Learning
        Trustworthy, safe and resilient intelligent systems
        Trusted, privacy-conscious and secure systems, applications and networks/infrastructures
        Security and privacy in IoT and Cyber-physical-human systems
        Trustworthy and secure Human-Machine collaboration
        Access and trust management/negotiation, and secure information flow/sharing
        Bio-inspired approaches to trust, privacy and security
        Game theoretical approaches to trust, privacy, and security
        Adversarial machine learning
        Trust, privacy and security for big data systems, applications and platforms
        Trust, privacy and security for smart cities and urban computing
        Machine Learning / Deep learning over encrypted data
        Usability and human factors for trust, privacy and security
        Tools, techniques and metrics for trust, privacy and security
        Anonymization techniques and differential privacy for emerging intelligent applications
        Trust, privacy and security approaches for services computing: microservices, service-oriented architectures, service composition and orchestration
        Blockchain and Distributed-ledger technologies
        Blockchain/Distributed ledger for e-commerce, mobile commerce and intelligent applications
        Bias, fairness and integrity/robustness of algorithmic machine / AI algorithms
        Trusted, privacy-aware and secure interoperation of interacting/collaborative systems
        Threat models and attack modeling for AI/ML and applications
        Identification/Detection of spam, phishing, malware and APTs
        Cryptographic approaches and secure multiparty computation
        Privacy-preserving data mining and big data analytics
        Application of AI/ML and Deep learning for trust, privacy and security
        Trust, privacy and security in edge/cloud computing, social computing
        Safe and trusted autonomous vehicles/UAVs, robotics
        Trust, security and safety in supply-chain environments and critical infrastructures
        Data quality/credence, privacy and provenance
        Trust in social media – disinformation/misinformation
        Risk metrics and measurements, assessment/analysis and mitigation
        Insider threat modeling, analysis and mitigation; behavioral modeling for security and trust
        Digital payments and cryptocurrencies; Secure and trustworthy e-commerce and mobile commerce
        Trust negotiation and/or propagation in interacting systems of systems, multi-agentsystems, social networks.