Advances in Privacy and Security for Emerging Technologies

The field of emerging technologies, including virtual reality, artificial intelligence, and homomorphic encryption, is moving towards a focus on privacy and security. Researchers are exploring new approaches to protect user data and prevent unauthorized access, such as attribute-based encryption and flexible hardware-enabled guarantees. There is also a growing interest in understanding user perceptions of privacy and security, particularly in the context of messaging platforms and extended reality systems. Noteworthy papers in this area include the proposal of a disruptive approach in homomorphic AI, which enables the analysis and processing of data in its cryptographically secure form, and the development of a multimodal anonymization mechanism for extended reality systems, which reduces re-identification rates without compromising usability. Overall, the field is advancing towards more robust and user-centric privacy and security solutions.

Sources

User Perceptions and Attitudes Toward Untraceability in Messaging Platforms

Do Not Immerse and Drive? Prolonged Effects of Cybersickness on Physiological Stress Markers And Cognitive Performance

Technical Evaluation of a Disruptive Approach in Homomorphic AI

Toward Practical Privacy in XR: Empirical Analysis of Multimodal Anonymization Mechanisms

Anonymous Authentication using Attribute-based Encryption

Narrowing the Gap between TEEs Threat Model and Deployment Strategies

Flexible Hardware-Enabled Guarantees for AI Compute

International Security Applications of Flexible Hardware-Enabled Guarantees

You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality

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