Science

Researchers have developed a system to embed secret messages within the normally unused components of Wi-Fi transmissions, offering a new avenue for covert communication.

New research details how rigorous pre-deployment checks can bolster the security of AI sandbox infrastructure and prevent potentially catastrophic model escapes.

A new technique streamlines privacy-preserving computation by efficiently combining arithmetic and comparison operations within fully homomorphic encryption schemes.

A new study reveals that while AI is increasingly used to generate code fixes, a significant number of these contributions introduce or fail to address critical security vulnerabilities.

New research demonstrates that rigorously applying masking techniques at each stage of a Number Theoretic Transform pipeline is critical for preventing side-channel attacks in post-quantum cryptography hardware.

This research delves into the analytical behavior of q-deformed metallic numbers, a generalization of the familiar Fibonacci sequence.

New research reveals that diffusion-based language models demonstrate superior resilience to performance loss when compressed using quantization techniques, opening doors for efficient code generation on limited hardware.

New research reveals that shrinking large language models isn’t always a straightforward trade-off, exposing two fundamentally different ways these systems can break down.

A new approach to key distribution leverages hybrid quantum and post-quantum cryptography to connect geographically separated quantum key distribution systems.

New research reveals the surprising atomic architecture within Gd-based metallic glasses, linking their unusual properties to a dynamic interplay of short-range order and interstitial atoms.