
Explore cutting-edge cryptographic techniques in functional commitments, proofs, and secure multi-party computation at this advanced IACR session.

Explore the foundational concepts of zero-knowledge proofs in this comprehensive session from Asiacrypt 2023, chaired by renowned cryptographer Moti Yung.

Explore cutting-edge research on anonymity in cryptography at Asiacrypt 2023. This session features the first of four talks, offering insights into the latest developments in the field.

Comparative analysis of IoT cloud platforms, exploring architecture, protocols, and services. Evaluates open-source vs. closed platforms using real sensor data from a heritage site in Rome.

Explore privacy-preserving online identity using verifiable credentials and zero-knowledge proofs. Learn how Hyperledger AnonCreds enables trust without tracking, with practical demonstrations and applications in the Metaverse.

Explore blockchain's impact on networking, from creating a global data infrastructure to revolutionizing network operations. Learn about innovative projects and future possibilities in this emerging field.

Explores 7 marketed IoT "features" that pose hidden risks, offering alternative solutions using Mozilla's open source web of things framework for improved privacy, security, and interoperability.

Explores authentication and self-announcement patterns in IoT, addressing unique security challenges due to physical access, limited computation power, system vulnerabilities, and privacy concerns in various IoT scenarios.

Explore how blockchain technology can revolutionize identity and authentication in IoT, enhancing security through decentralized, immutable ledgers and innovative approaches to personal data management.

Explore the security challenges of connected cars, including risks, government involvement, and lessons from IT. Learn about safety-security-convenience trade-offs and steps for automotive manufacturers.

Investigación sobre preocupaciones de usabilidad, seguridad y privacidad de cerraduras inteligentes mediante entrevistas a usuarios, revelando estrategias de mitigación e indiferencia ante ciertos riesgos.

Explore Oblivious Pseudo-Random Functions (OPRFs), their properties, and applications in cryptographic protocols. Learn about free software implementations and standardization efforts in this exciting field.

Explore innovative techniques for database joins that balance privacy and efficiency, overcoming limitations of fully oblivious algorithms in worst-case scenarios.

Exploring ethical challenges in AI and machine learning, including data privacy, algorithmic bias, and decision-making transparency. Discusses recent research on socially responsible algorithm design.

Explore the future of enterprise blockchain, focusing on interoperability, modularity, and privacy. Learn how distributed ledger technologies are evolving to serve as shared infrastructure across organizations.

Explore techniques for creating secure synthetic data, including redaction, anonymization, and differential privacy, with practical examples and future developments.

Learn to create your own smart home system using free, open-source software. Explore practical demonstrations and step-by-step guidance for implementing DIY solutions.

Learn to secure machine learning workloads using Kubeflow and MLOps. Explore techniques like model extraction, hidden data attacks, and leakage detection to protect your ML pipelines and models.

Explore the impact of deepfakes, AI, and biometrics on identity in the digital age, examining challenges and potential solutions for security and privacy.

Exploring ethical AI data collection through community-driven models, focusing on consent and linguistic diversity. Examines Common Voice project and alternative approaches for a more inclusive AI future.

Explore privacy and security challenges in machine learning systems, including attack types, protection techniques, and regulatory compliance to ensure stakeholder trust.