arXiv:2608.05203v1 Announce Type: new Abstract: Machine learning models achieve strong predictive accuracy for 90-day outcome prediction in acute ischaemic stroke, yet clinical adoption is limited by …
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arXiv:2608.05203v1 Announce Type: new Abstract: Machine learning models achieve strong predictive accuracy for 90-day outcome prediction in acute ischaemic stroke, yet clinical adoption is limited by …
arXiv:2608.05168v1 Announce Type: new Abstract: Large language models often fail on reasoning tasks despite possessing the capability to solve them. We argue that many such failures arise from localiz…
arXiv:2608.05160v1 Announce Type: new Abstract: We introduce the Ignition Index (I), a validated scalar metric that operationalizes Global Workspace Theory's (GWT) all-or-none ignition prediction in t…
arXiv:2608.05159v1 Announce Type: new Abstract: Enterprise operations extensively rely on multiple heterogeneous business systems and information applications, which also result in severe data silos a…
arXiv:2608.06211v1 Announce Type: new Abstract: Significant advancements in deep learning have been made possible by the utilization of large datasets, underscoring the critical importance of copyrigh…
arXiv:2608.06130v1 Announce Type: new Abstract: AI agents performing cryptographic operations (signing Git commits, authenticating API calls, issuing certificates) currently store private keys in soft…
arXiv:2608.06124v1 Announce Type: new Abstract: Speculative execution attacks such as Spectre-PHT and Spectre-STL remain a critical security concern in modern processors. While software-based mitigati…
arXiv:2608.06061v1 Announce Type: new Abstract: In this note, we show a simple attack that can recover the hash key of GCM and GMAC by using a zero length nonce. After recovering the hash key, the adv…
arXiv:2608.05909v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) often refuse unsafe text prompts yet generate harmful responses to semantically equivalent multimodal inputs. E…
arXiv:2608.05902v1 Announce Type: new Abstract: Water distribution networks depends on industrial control systems to integrate the physical process with communication network, making them vulnerable t…
arXiv:2608.05884v1 Announce Type: new Abstract: Existing guidance identifies excessive agency, excessive permission, weak task-bound authorization, and inadequate agent controls as important risks. Co…
arXiv:2608.05870v1 Announce Type: new Abstract: Rust is a popular systems programming language that provides strong memory safety and introduces low-performance overhead. While Rust guarantees memory …
arXiv:2608.05836v1 Announce Type: new Abstract: Cloud-based accessing of Quantum-as-a-Service (QaaS) platforms such as IBM Quantum, IonQ Cloud, and Amazon Braket is becoming popular day by day. Hybrid…
arXiv:2608.05831v1 Announce Type: new Abstract: Quantum software is increasingly provided through multi-tenant and cloud-based Quantum-as-a-Service (QaaS) stacks. A growing concern about the diverse a…
arXiv:2608.05737v1 Announce Type: new Abstract: Local Differential Privacy (LDP) provides strong privacy guarantees for collecting numerical data. A fundamental challenge, however, is that existing LD…
arXiv:2608.05736v1 Announce Type: new Abstract: Although the state-of-the-art neural network model extraction attack in the hard-label setting by Carlini et al. at EUROCRYPT 2025 has polynomial-time c…
arXiv:2608.05659v1 Announce Type: new Abstract: LLM customization platforms allow users to build task-specific models for code intelligence tasks by embedding instructions into system prompts, without…
arXiv:2608.05605v1 Announce Type: new Abstract: Research and Education Networks (RENs) serve as critical infrastructure for scientific discovery, yet they face a unique security paradox: their normal …
arXiv:2608.05578v1 Announce Type: new Abstract: We introduce AMS (Activation-based Model Scanner), a tool that detects modifications to safety training in language models by measuring the geometric st…
arXiv:2608.05563v1 Announce Type: new Abstract: Self-evolving skill (SES) systems distill agent trajectories into persistent skills, allowing untrusted experience to become trusted instruction. We int…
arXiv:2608.05552v1 Announce Type: new Abstract: Deep learning models have become integral to security applications due to their ability to model complex relationships in data and detect sophisticated …
arXiv:2608.05548v1 Announce Type: new Abstract: Modern vehicles rely on the Controller Area Network (CAN) bus, whose design prioritizes low cost and real-time performance but provides no message authe…
arXiv:2608.05495v1 Announce Type: new Abstract: Smart-home assistants increasingly use multimodal large language models (MLLMs) that perceive video and audio directly. This raises a safety question sp…
arXiv:2608.05474v1 Announce Type: new Abstract: The systematic and excessive data collection practices of tech companies have rendered online privacy both a necessity and a sought-after commodity. How…