arXiv:2604.16465v1 Announce Type: new Abstract: Healthcare productivity is shaped not only by clinical complexity but by the costs of coordinating work under uncertainty. Transaction-cost economics of…
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arXiv:2604.16465v1 Announce Type: new Abstract: Healthcare productivity is shaped not only by clinical complexity but by the costs of coordinating work under uncertainty. Transaction-cost economics of…
arXiv:2604.16434v1 Announce Type: new Abstract: When a system commits to a hypothesis, much of the evidential structure behind that commitment is lost to compression. Standard accounts assume that sel…
arXiv:2604.16406v1 Announce Type: new Abstract: Realistic highway simulation is critical for scalable safety evaluation of autonomous vehicles, particularly for interactions that are too rare to study…
arXiv:2604.16403v1 Announce Type: new Abstract: Generative AI systems are increasingly recognized as cultural technologies, yet current evaluation frameworks often treat culture as a variable to be me…
arXiv:2604.16339v1 Announce Type: new Abstract: Multi-agent large language model (LLM) systems are rapidly emerging as the dominant architecture for enterprise AI automation, yet production deployment…
arXiv:2604.16338v1 Announce Type: new Abstract: The rapid adoption of agentic AI in enterprise business operations--autonomous systems capable of planning, reasoning, and executing multi-step workflow…
arXiv:2604.17238v1 Announce Type: new Abstract: In the 47th IEEE Symposium on Security and Privacy (IEEE S&P 2026), Gao et al. proposed an efficient and user-friendly secure transformer inference fram…
arXiv:2604.17179v1 Announce Type: new Abstract: INTRODUCTION: The proliferation of the amalgamation of IoT and edge computing has increased the demand for decentralised trust and security mechanisms c…
arXiv:2604.17159v1 Announce Type: new Abstract: We present, to our knowledge, the most comprehensive cross-model evaluation of LLM agents on offensive cybersecurity tasks, benchmarking 10 frontier mod…
arXiv:2604.17125v1 Announce Type: new Abstract: Model Context Protocol (MCP) is a rapidly adopted standard for defining and invoking external tools in LLM applications. The multi-layered architecture …
arXiv:2604.17093v1 Announce Type: new Abstract: The integration of large language models (LLMs) into electronic design automation (EDA) workflows has introduced powerful capabilities for RTL generatio…
arXiv:2604.17014v1 Announce Type: new Abstract: Prior work has demonstrated that functionally correct yet vulnerable outputs arise systematically in threat-oriented settings, where adversarial or impl…
arXiv:2604.17003v1 Announce Type: new Abstract: Final FIPS and PKIX standards for ML-KEM and ML-DSA fix the normative floor, but operational assurance in post-quantum X.509 still depends on accountabl…
arXiv:2604.16966v1 Announce Type: new Abstract: The evolution from static ranking models to Agentic Recommender Systems (Agentic RecSys) empowers AI agents to maintain long-term user profiles and auto…
arXiv:2604.16870v1 Announce Type: new Abstract: AI agents increasingly call external tools (file system, network, APIs) through the Model Context Protocol (MCP). These tool calls are the agent's sysca…
arXiv:2604.16838v1 Announce Type: new Abstract: We present enclawed, a hard-fork hardening framework built on top of the OpenClaw single-user personal artificial intelligence (AI) assistant gateway. e…
arXiv:2604.16834v1 Announce Type: new Abstract: Privacy-preserving machine learning (PPML) has become increasingly important in applications where sensitive data must remain confidential. Homomorphic …
arXiv:2604.16832v1 Announce Type: new Abstract: Timing side-channel attacks exploit variations in program execution time to recover sensitive information. Cryptographic implementations are especially …
arXiv:2604.16827v1 Announce Type: new Abstract: Academic examination systems worldwide continue to rely on centralised, opaque record-keeping that is often vulnerable to credential forgery, result tam…
arXiv:2604.16824v1 Announce Type: new Abstract: Multi-turn jailbreak attacks progressively erode LLM safety alignment across seemingly innocuous conversation turns, achieving success rates exceeding 9…
arXiv:2604.16762v1 Announce Type: new Abstract: Modern AI agents routinely depend on secrets such as API keys and SSH credentials, yet the dominant deployment model still exposes those secrets directl…
arXiv:2604.16760v1 Announce Type: new Abstract: Ransomware detection systems increasingly rely on behavior-based machine learning to address evolving attack strategies. However, emerging privacy compl…
arXiv:2604.16699v1 Announce Type: new Abstract: As Cyber-Physical Systems (CPS) become increasingly pervasive and autonomous, ensuring the resilience of their embedded logic is critical to maintaining…
arXiv:2604.16697v1 Announce Type: new Abstract: Large language models write production code, and yet they routinely introduce well-known vulnerabilities. We show that this is not a knowledge deficit: …