cyberintel.kalymoon.com · 4773 articles · updated every 4 hours · grows forever
arXiv:2605.19367v1 Announce Type: new Abstract: University cybersecurity protocols have intensified dramatically in response to rising threats of data breaches, ransomware, and credential theft. While…
arXiv:2605.19328v1 Announce Type: new Abstract: Recent advances in Vision-Language Models (VLMs) facilitate a new class of embodied AI systems, where these models are integrated into physical platform…
arXiv:2605.19321v1 Announce Type: new Abstract: Large Language Model (LLM) alignment remains vulnerable to jailbreak attacks that elicit unsafe responses, motivating pre-model and post-model guards. P…
arXiv:2605.19312v1 Announce Type: new Abstract: As part of the political process, citizens may participate in signature collections to influence policy changes. In Switzerland, this even results in le…
arXiv:2605.19253v1 Announce Type: new Abstract: Over-the-air federated learning (OTA-FL) improves communication efficiency by exploiting the superposition property of wireless channels, but this same …
arXiv:2605.19233v1 Announce Type: new Abstract: Unmanned aerial vehicles (UAVs) are cyber-physical systems whose attack surface spans networked avionics and on-board sensor fusion: a compromised GPS o…
arXiv:2605.19232v1 Announce Type: new Abstract: Fake Base Station (FBS) detection has been a critical focus of cellular security research for over two decades. However, significant financial and regul…
arXiv:2605.19227v1 Announce Type: new Abstract: Unified autoregressive models (UAMs) are transformer models that generate text as well as image tokens within a single autoregressive pass. Shared param…
arXiv:2605.19159v1 Announce Type: new Abstract: Prompt injection attacks pose significant risks to language model safety, yet existing defenses are typically evaluated using classification performance…
arXiv:2605.19147v1 Announce Type: new Abstract: Large language models (LLMs) are highly susceptible to backdoor attacks (BAs), wherein training samples are poisoned using trigger-based harmful content…
arXiv:2605.19123v1 Announce Type: new Abstract: Cryptographic primitives such as stream ciphers,Pseudorandom Number Generators (PRNGs), and block cipher modes produce sequences that are designed to be…
arXiv:2605.18991v1 Announce Type: new Abstract: We take the position that agent security must be approached as a systems problem: the AI model powering the agent must be treated as an untrusted compon…
arXiv:2605.18988v1 Announce Type: new Abstract: The expansion of Multimodal Large Language Models (MLLMs) and their integration into autonomous agentic workflows has introduced a non-stationary attack…
arXiv:2605.18930v1 Announce Type: new Abstract: Memory-augmented large language model (LLM) agents use iterative reflection and self-evolution to solve complex tasks, but these mechanisms introduce se…
arXiv:2605.18919v1 Announce Type: new Abstract: Evolutionary algorithms for adversarial attacks leverage population-based search to discover perturbations without gradient information, but suffer from…
arXiv:2605.18918v1 Announce Type: new Abstract: Modern AI assistants are agentic. To answer a single user request, the underlying language model pulls in information from many sources, such as web sea…
arXiv:2605.18915v1 Announce Type: new Abstract: Multimodal Large Language Models (MLLMs) are vulnerable to jailbreak attacks, which can elicit harmful responses from MLLMs. Many MLLMs support multi-im…
arXiv:2605.18913v1 Announce Type: new Abstract: The U.S. financial system processes approximately 1.3 million interbank transactions daily, yet no system in the reviewed literature models fraud propag…
arXiv:2605.18908v1 Announce Type: new Abstract: Deep neural networks (DNNs) remain critically vulnerable to backdoor attacks. Existing post-training detectors often require clean or surrogate data, gr…
arXiv:2605.18907v1 Announce Type: new Abstract: Deep neural networks (DNN), despite their remarkable performance, are highly vulnerable to backdoor attacks. Existing defenses mainly rely on activation…
arXiv:2605.18901v1 Announce Type: new Abstract: Small and medium enterprises (SMEs) face growing cyber threats but often lack the resources and expertise needed to adopt Zero Trust Architecture (ZTA).…
arXiv:2605.18873v1 Announce Type: new Abstract: Training and evaluating false data injection attack (FDIA) detectors for power systems is constrained by data scarcity. Operational grid measurements ar…
arXiv:2605.18868v1 Announce Type: new Abstract: While vision and multimodal foundation models underpin critical tasks from perception to complex reasoning, they remain highly vulnerable to adversarial…
arXiv:2605.18773v1 Announce Type: new Abstract: Traditional facility management often relies on centralized decision-making structures that limit stakeholder participation, leading to misalignment wit…