arXiv:2604.01369v1 Announce Type: new Abstract: General-purpose programmable photonic processors offer a flexible foundation for integrating various functionalities within a single chip. A two-dimensi…
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arXiv:2604.01369v1 Announce Type: new Abstract: General-purpose programmable photonic processors offer a flexible foundation for integrating various functionalities within a single chip. A two-dimensi…
arXiv:2604.01353v1 Announce Type: new Abstract: We construct a broad class of completely positive maps and Go\-rini--Kossakowski--Sudarshan-Lindblad generators for fermionic systems induced by linear …
arXiv:2604.01301v1 Announce Type: new Abstract: Achieving fast, excitation-free quantum control is a vital challenge in modern quantum technologies. In many cases, shortcuts to adiabaticity enable fas…
arXiv:2604.01296v1 Announce Type: new Abstract: Symmetries play a central role in quantum many-body physics, yet uncovering them systematically remains challenging. We introduce a bootstrap framework …
arXiv:2604.01282v1 Announce Type: new Abstract: An important measure of utility for a quantum code is the identification of which logical operations can be implemented fault-tolerantly on its codespac…
arXiv:2604.01250v1 Announce Type: new Abstract: Routing in wireless communication networks is shaped by mobility, interference, congestion, and competing service requirements, making route selection a…
arXiv:2510.16219v3 Announce Type: replace Abstract: Malicious agents pose significant threats to the reliability and decision-making capabilities of Multi-Agent Systems (MAS) powered by Large Language…
arXiv:2508.18649v2 Announce Type: replace Abstract: Safeguarding vision-language models (VLMs) is a critical challenge, as existing methods often suffer from over-defense, which harms utility, or rely…
arXiv:2507.05660v2 Announce Type: replace Abstract: Customizing Large Language Models (LLMs) on untrusted datasets poses severe risks of injecting toxic behaviors. In this work, we introduce Optimus, …
arXiv:2505.02344v3 Announce Type: replace Abstract: The rise of LLMs has increased concerns over source tracing and copyright protection for AIGC, highlighting the need for advanced detection technolo…
arXiv:2401.01374v2 Announce Type: replace Abstract: An attack taxonomy offers a consistent and structured classification scheme to systematically understand, identify, and classify cybersecurity threa…
arXiv:2604.01831v1 Announce Type: cross Abstract: Secure long-distance communication in quantum key distribution (QKD) networks depends on trusted repeater nodes along the entire transmission path. Co…
arXiv:2604.01483v1 Announce Type: cross Abstract: The rapid evolution of autonomous, agentic artificial intelligence within financial services has introduced an existential architectural crisis: large…
arXiv:2604.01350v1 Announce Type: cross Abstract: LLM-based agents increasingly operate across repeated sessions, maintaining task states to ensure continuity. In many deployments, a single agent serv…
arXiv:2604.01330v1 Announce Type: cross Abstract: While deepfake speech detectors built on large self-supervised learning (SSL) models achieve high accuracy, employing standard ensemble fusion to furt…
arXiv:2604.02299v1 Announce Type: new Abstract: Modern adversarial campaigns unfold as sequences of behavioural phases - Reconnaissance, Lateral Movement, Intrusion, and Exfiltration - each often indi…
arXiv:2604.02149v1 Announce Type: new Abstract: As TLS 1.3 encryption limits traditional Deep Packet Inspection (DPI), the security community has pivoted to Euclidean Transformer-based classifiers (e.…
arXiv:2604.02023v1 Announce Type: new Abstract: Autonomous agents are moving beyond simple retrieval tasks to become economic actors that invoke APIs, sequence workflows, and make real-time decisions.…
arXiv:2604.01977v1 Announce Type: new Abstract: Security teams face a challenge: the volume of newly disclosed Common Vulnerabilities and Exposures (CVEs) far exceeds the capacity to manually develop …
arXiv:2604.01937v1 Announce Type: new Abstract: The UK Cyber Security and Resilience (CS&R) Bill represents the most significant reform of UK cyber legislation since the Network and Information System…
arXiv:2604.01905v1 Announce Type: new Abstract: The model context protocol (MCP) standardizes how LLMs connect to external tools and data sources, enabling faster integration but introducing new attac…
arXiv:2604.01904v1 Announce Type: new Abstract: Data rights owners can detect unauthorized data use in large language model (LLM) training by querying with proprietary samples. Often, superior perform…
arXiv:2604.01876v1 Announce Type: new Abstract: While QKD ensures information-theoretic security at the link level, real-world deployments depend on trusted repeaters, creating potential vulnerabiliti…
arXiv:2604.01750v1 Announce Type: new Abstract: Spiking Neural Networks (SNNs) are energy-efficient and biologically plausible, ideal for embedded and security-critical systems, yet their adversarial …