Collusion-Secure Semi-Quantum Secret Sharing Scheme using a Quantum Third Party
The security of a secret sharing protocol is compromised if one or more dishonest participants can reconstruct the secre
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← 返回归档列表The security of a secret sharing protocol is compromised if one or more dishonest participants can reconstruct the secre
Finding heavy nodes in a tree---those whose counts exceed a given threshold---is a building block for analysis and learn
Tabular data underpin prediction and decision-making in medicine, finance, government and science, but often contain sen
A cryptographic secret is issued for a purpose but grants a capability, and the capability is usually larger: a decrypti
The EU Cyber Resilience Act (CRA) turns product cybersecurity into a lifecycle compliance obligation for manufacturers,
Feedback from automated testing, human red teaming, and incident response can strengthen an AI system's defenses when di
Looped Language Models (LoopLMs) provide a parameter efficient approach to scaling model capabilities through repeated u
The Polynomial Modular Number Systems (PMNS) aim to represent elements of fields or rings of large characteristics using
Protocol verifiers check whether a protocol meets a security goal under stated trust assumptions, such as that a key is
Quantum kernel methods are leading candidates for a practical quantum advantage in machine learning, but assessing that
Vision-Language-Action models (VLAs) are increasingly deployed in safety-critical physical environments, yet their adver
Token-Pruning accelerates Vision-Language Models by removing redundant visual tokens, yet its safety implications remain
When an assistant encounters a message for another AI, does it tell its user? Four fixed model-provider deployments perf
DP-SGD protects training data by adding Gaussian noise to clipped gradients. The amount of noise is usually chosen by ru
In post-deployment time, inputs to deep learning models may or may not be adversarially patched. Patch robustness certif
Research software sustainability is often assessed through the FAIR principles: findability, accessibility, interoperabi
Agent skills combine instructions with executable resources, giving third-party packages access to an agent's runtime. E
Watermarking enables language model providers to identify text generated by their models. However, its desired propertie
Computer-use agents (CUAs) perform tasks across applications (such as desktops, mobile apps, and web browsers) by observ
Modern web agents built on large vision-language models process webpages, select relevant UI elements, and translate mod