The 19th IEEE International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage
(IEEE SpaCCS 2026)

Kuala Lumpur, Malaysia

27-30 December 2026

Join us at the 19th IEEE International Conference on Security, Privacyand Anonymity in Computation, Communication and Storage (IEEE SpaCCS 2026)

The 19th SpaCCS 2026 conference will be held in Kuala Lumpur, Malaysia, continuing the tradition of this prestigious series dedicated to security, privacy, and anonymity in computation, communication, and storage. Recognized as a leading global event, SpaCCS addresses a wide range of topics, including security algorithms and architectures, privacy-aware policies, anonymous computation and communication, and related techniques. The conference brings together cutting-edge theoretical research, practical experiments, and commercial applications, covering all aspects of secure and private systems across computation, communication, and storage.

SpaCCS 2026 will provide an international platform for researchers, industry professionals, and experts to present their latest findings, emerging ideas, and trends in these critical and challenging areas. The conference continues its tradition of fostering collaboration between researchers and practitioners from around the world, with a focus on the evolving challenges in securing and protecting data in modern computer systems and networks.

IEEE SpaCCS 2026 Tracks and Topics

  • Track 1: Security and Trustworthy AI
    • – Security models, architectures, access control and trust management
    – Software, system, network, cloud/edge and IoT security
    – Security of AI/ML, foundation models and intelligent agents
    – Adversarial machine learning, model poisoning, prompt attacks and AI-driven cyber defense
    – Intrusion detection, malware analysis, digital forensics and content authenticity
    – Security of federated and decentralized AI systems
    – Blockchain and smart contract security, formal verification and trust
    – Integrity, provenance and reproducibility of scientific data and computing workflows
  • Track 2: Privacy and Privacy-Preserving AI
    • – Privacy modelling, metrics, risk analysis and policies
    – Differential privacy, anonymization and data de-identification
    – Privacy risks and protection in AI/ML, federated learning and foundation models
    – Data and model privacy, leakage, inference attacks and privacy auditing
    – Confidential computing and trusted execution environments
    – Privacy in cloud, edge, IoT and scientific data platforms
    – Decentralized identity, privacy-preserving credentials and user-controlled data
    – Privacy-preserving data and model sharing, governance and compliance in distributed ecosystems
  • Track 3: Anonymity, Applications and Services
    • – Anonymous communication protocols and metadata protection
    – Anonymous identity, authentication and pseudonymity
    – Anonymous data sharing, storage and retrieval
    – Anonymity in mobile, wireless, IoT, cloud and edge systems
    – Anonymity in big data and distributed AI systems
    – Decentralized storage, Web 3.0 and secure data ecosystems
    – Scalable, interoperable and energy-efficient decentralized infrastructures
    – Secure and privacy-aware applications for scientific discovery, healthcare, energy, climate and critical infrastructures
  • Track 4: Applied Cryptography
    • – Cryptographic Protocols and Provable Security
    – Public-Key and Symmetric-Key Cryptography
    – Post-Quantum and Lattice-Based Cryptography
    – Zero-Knowledge Proofs and Verifiable Computation
    – Homomorphic and Functional Encryption
    – Secure Multi-Party Computation and Secret Sharing
    – Threshold Cryptography and Distributed Key Generation
    – Searchable Encryption and Privacy-Preserving Cryptographic Systems
    – Cryptography for Privacy-Preserving AI and Scientific Computing

Conference History

Sponsored and Organized by

Zhengzhou University