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◌ Quantum Computing Apr 03, 2026
Programmable recirculating bricks mesh architecture for quantum photonics

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 Quantum Read →
◌ Quantum Computing Apr 03, 2026
Constructing Fermionic Dynamics with Closed Moment Hierarchies

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 Quantum Read →
◌ Quantum Computing Apr 03, 2026
Numerically Optimizing Shortcuts to Adiabaticity: A Hybrid Control Strategy

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 Quantum Read →
◌ Quantum Computing Apr 03, 2026
Bootstrapping Symmetries in Quantum Many-Body Systems from the Cross Spectral Form Factor

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 Quantum Read →
◌ Quantum Computing Apr 03, 2026
Exhaustive Optimisation of Automorphism Groups for Stabiliser Codes

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 Quantum Read →
◌ Quantum Computing Apr 03, 2026
Hybrid Classical--Quantum Optimization of Wireless Routing Using QAOA and Quantum Walks

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 Quantum Read →
◬ AI & Machine Learning Apr 03, 2026
SentinelNet: Safeguarding Multi-Agent Collaboration Through Credit-Based Dynamic Threat Detection

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
PRISM: Robust VLM Alignment with Principled Reasoning for Integrated Safety in Multimodality

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
An End-to-End Model for Logits-Based Large Language Models Watermarking

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
Taxonomy for Cybersecurity Threat Attributes and Countermeasures in Smart Manufacturing Systems

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
Topology-Hiding Path Validation for Large-Scale Quantum Key Distribution Networks

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…

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◬ AI & Machine Learning Apr 03, 2026
Type-Checked Compliance: Deterministic Guardrails for Agentic Financial Systems Using Lean 4 Theorem Proving

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
No Attacker Needed: Unintentional Cross-User Contamination in Shared-State LLM Agents

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…

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◬ AI & Machine Learning Apr 03, 2026
Evolutionary Multi-Objective Fusion of Deepfake Speech Detectors

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…

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◬ AI & Machine Learning Apr 03, 2026
PARD-SSM: Probabilistic Cyber-Attack Regime Detection via Variational Switching State-Space Models

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
AEGIS: Adversarial Entropy-Guided Immune System -- Thermodynamic State Space Models for Zero-Day Network Evasion Detection

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
APEX: Agent Payment Execution with Policy for Autonomous Agent API Access

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
RuleForge: Automated Generation and Validation for Web Vulnerability Detection at Scale

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
Architectural Implications of the UK Cyber Security and Resilience Bill

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 Security Read →
◬ AI & Machine Learning Apr 03, 2026
From Component Manipulation to System Compromise: Understanding and Detecting Malicious MCP Servers

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…

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◬ AI & Machine Learning Apr 03, 2026
Combating Data Laundering in LLM Training

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…

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◬ AI & Machine Learning Apr 03, 2026
Topology-Hiding Connectivity-Assurance for QKD Inter-Networking

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…

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◬ AI & Machine Learning Apr 03, 2026
Spike-PTSD: A Bio-Plausible Adversarial Example Attack on Spiking Neural Networks via PTSD-Inspired Spike Scaling

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 …

arXiv Security Read →
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