arXiv:2603.13734v1 Announce Type: new Abstract: This study provides a comprehensive synthesis of Artificial Intelligence (AI), especially Machine Learning (ML) and Deep Learning (DL), in ransomware de…
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arXiv:2603.13734v1 Announce Type: new Abstract: This study provides a comprehensive synthesis of Artificial Intelligence (AI), especially Machine Learning (ML) and Deep Learning (DL), in ransomware de…
arXiv:2603.13735v1 Announce Type: new Abstract: An ever-increasing number of critical infrastructures rely heavily on the assumption that security protocols satisfy a wealth of requirements. Hence, th…
arXiv:2603.13812v1 Announce Type: new Abstract: A monitor and control framework for quantum-key-distribution (QKD) networks equipped with switching capabilities was developed. On the one hand, this fr…
arXiv:2603.13847v1 Announce Type: new Abstract: Speech-driven large language models (LLMs) are increasingly accessed through speech interfaces, introducing new security risks via open acoustic channel…
arXiv:2603.13864v1 Announce Type: new Abstract: Real-world backdoor attacks often require poisoned datasets to be stored and transmitted before being used to compromise deep learning systems. However,…
arXiv:2603.13900v1 Announce Type: new Abstract: Blockchain technology enforces the security, robustness, and traceability of operations of Process-Aware Information Systems (PAISs). In particular, tra…
arXiv:2603.14009v1 Announce Type: new Abstract: In [4] Camps-Moreno et al. treated (relative) generalized Hamming weights of codes from extended norm-trace curves and they gave examples of resulting g…
arXiv:2603.14011v1 Announce Type: new Abstract: As AI agents evolve from text generators into autonomous economic actors that accept jobs, manage budgets, and delegate to sub-agents, the absence of ru…
arXiv:2603.14016v1 Announce Type: new Abstract: We study several problems in differentially private domain discovery, where each user holds a subset of items from a shared but unknown domain, and the …
arXiv:2603.14122v1 Announce Type: new Abstract: Honeypots are deception systems that emulate vulnerable services to collect threat intelligence. While deploying many honeypots increases the opportunit…
arXiv:2603.14124v1 Announce Type: new Abstract: Deep learning-based perception pipelines in autonomous ground vehicles are vulnerable to both adversarial manipulation and network-layer disruption. We …
arXiv:2603.14222v1 Announce Type: new Abstract: Contrastive pretraining models such as CLIP and CLAP underpin many vision-language and audio-language systems, yet their reliance on web-scale data rais…
arXiv:2603.14278v1 Announce Type: new Abstract: Most jailbreak techniques for Large Language Models (LLMs) primarily rely on prompt modifications, including paraphrasing, obfuscation, or conversationa…
arXiv:2603.14283v1 Announce Type: new Abstract: Hosted large language models are increasingly accessed through remote APIs, but the API boundary still offers little direct evidence that a returned out…
arXiv:2603.14332v1 Announce Type: new Abstract: AI agents dynamically acquire capabilities at runtime via MCP and A2A, yet no framework detects when capabilities change post-authorization. We term thi…
arXiv:2603.14341v1 Announce Type: new Abstract: Over the years, access control systems have become increasingly more complex, often causing a disconnect between what is envisaged by the stakeholders i…
arXiv:2603.14365v1 Announce Type: new Abstract: Electronic banking portals often sit in front of enterprise resource planning (ERP) systems such as SAP, mediating payment requests between users and ba…
arXiv:2603.14492v1 Announce Type: new Abstract: As database deployments shift toward cloud platforms and edge devices, thin clients need to securely retrieve sensitive records without leaking their qu…
arXiv:2603.13236v1 Announce Type: new Abstract: AI-related incidents are becoming increasingly frequent and severe, ranging from safety failures to misuse by malicious actors. In such complex situatio…
arXiv:2603.13237v1 Announce Type: new Abstract: High-frequency banking environments face a critical trade-off between low-latency fraud detection and the regulatory explainability demanded by GDPR. Tr…
arXiv:2603.13239v1 Announce Type: new Abstract: Smart contracts play a central role in blockchain systems by encoding financial and operational logic. Still, their susceptibility to subtle security fl…
arXiv:2603.13243v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) generate text via iterative denoising but consistently underperform on multi-step reasoning. We hypothesize this…
arXiv:2603.13245v1 Announce Type: new Abstract: UK planning authorities face a legislative conflict between the Planning Act, which mandates public access to application documents, and the Data Protec…
arXiv:2603.13246v1 Announce Type: new Abstract: This paper proposes a Hadith-inspired multi-axis trust modeling framework, motivated by a structurally analogous problem in classical Hadith scholarship…