Science

New research reveals how interpretability techniques can systematically expose vulnerabilities in even the most advanced large language models.

As connected devices proliferate and artificial intelligence moves to the edge, ensuring hardware integrity is paramount, and this review explores how unique silicon fingerprints can provide a robust defense.

Researchers are leveraging the Variational Quantum Eigensolver to model the behavior of light nuclei, paving the way for more accurate quantum simulations of nuclear physics.

A new approach to steganography leverages the power of large language models to conceal information with provable security guarantees.

This research introduces a game-theoretic model to optimize the combination of cryptographic algorithms, anticipating and responding to evolving attacker strategies.

This review unravels the complex world of Layer-2 scaling technologies, explaining how they’re poised to unlock mainstream blockchain adoption.

New research rigorously compares three leading methods for protecting data transmitted over noisy channels, revealing performance differences in practical, short-message scenarios.

A new review synthesizes the landscape of attacks targeting autonomous vehicle perception, revealing critical vulnerabilities as systems increasingly rely on multiple sensors.

This review explores how to build multi-armed and linear bandit algorithms that consistently select the same actions under repeated runs, improving the reliability of reinforcement learning systems.

Researchers have developed a method for significantly extending the length of sequences processed by attention mechanisms without requiring hardware modifications.