cyberintel.kalymoon.com · 2686 articles · updated every 4 hours · grows forever
arXiv:2605.12927v1 Announce Type: new Abstract: Standalone virtual reality (VR) headsets process highly sensitive personal, professional, and health-related data, yet their susceptibility to non-conta…
arXiv:2605.12875v1 Announce Type: new Abstract: Programmatic skills in LLM ecosystems consist of a natural-language description and executable implementation files. Users and LLMs rely on the descript…
arXiv:2605.12869v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed in a wide range of applications, yet remain vulnerable to adversarial jailbreak attacks that circ…
arXiv:2605.12841v1 Announce Type: new Abstract: Homomorphic encryption (HE) enables computation over encrypted data, offering strong privacy guarantees for untrusted computing environments. Practical …
arXiv:2605.12827v1 Announce Type: new Abstract: Graph neural networks (GNNs) deployed as cloud services can be \emph{stolen} through \emph{model-extraction attacks}, which train a surrogate from query…
arXiv:2605.12746v1 Announce Type: new Abstract: Monitoring the chain-of-thought (CoT) of reasoning models is a promising approach for detecting covert misbehavior (i.e., hidden objectives) in code gen…
arXiv:2605.12743v1 Announce Type: new Abstract: Existing physical adversarial attacks on vision-based autonomous driving induce time-evolving perception errors, including biased object tracking or tra…
arXiv:2605.12565v1 Announce Type: new Abstract: Existing automated red-teaming pipelines often miss attacks that depend on attacker identity, framing, or multi-turn tactics. This under-coverage undere…
arXiv:2605.12563v1 Announce Type: new Abstract: Script-language runtimes such as Python, Lua, and JavaScript are widely deployed in security sensitive contexts, yet they remain difficult to test becau…
arXiv:2605.12535v1 Announce Type: new Abstract: LM agents do not act on raw interaction history; they act on a bounded decision state assembled by truncation, summarization, reordering, and rewriting.…
arXiv:2605.12529v1 Announce Type: new Abstract: In recent trends, one can observe Large Language Models (LLMs) are exposed to backdoor attacks where vicious triggers added during training or model edi…
What OpenClaw reveals about agentic AI security risks IBM
People report that their personal contact info was surfaced by Google AI—and there’s apparently no easy way to prevent it. A Redditor recently wrote that he was “desperate for help”: for about a month…
arXiv:2605.11664v1 Announce Type: new Abstract: Large Reasoning Models (LRMs) improve performance on complex tasks, but they also make safety control harder at deployment time. In black-box settings, …
arXiv:2605.11653v1 Announce Type: new Abstract: With LLM watermarking already being deployed commercially, practical applications increasingly require multibit watermarks that encode more complex payl…
arXiv:2605.11619v1 Announce Type: new Abstract: Here is a further shortened version (pure text, no extra formatting, academic style preserved, no content change): Abstract. With the rise of AI-generat…
arXiv:2605.11606v1 Announce Type: new Abstract: This study investigates the potential for deanonymizing services within the Invisible Internet Project (I2P) network through passive traffic analysis an…
arXiv:2605.11514v1 Announce Type: new Abstract: Multi-agent systems (MAS) powered by large language models (LLMs) increasingly adopt planner--executor architectures, where planners convert prompts int…
arXiv:2605.11487v1 Announce Type: new Abstract: Enterprise AI is shifting from copilots to autonomous agents capable of executing workflows, negotiating outcomes, and making decisions with limited hum…
arXiv:2605.11442v1 Announce Type: new Abstract: Large Language Model (LLM) agents have emerged as key intermediaries, orchestrating complex interactions between human users and a wide range of digital…
arXiv:2605.11360v1 Announce Type: new Abstract: As Model Context Protocol adoption grows, securing tool invocations via meaningful user consent has become a critical challenge, as existing methods, br…
arXiv:2605.11339v1 Announce Type: new Abstract: Unmanned Traffic Management (UTM) federated ecosystems, such as InterUSS, enable secure coordination among UAS Service Suppliers (USSs). However, they b…
arXiv:2605.11268v1 Announce Type: new Abstract: We demonstrate how publicly available social-media data and generative AI (GenAI) can be misused to automate and scale highly personalized, context-awar…
arXiv:2605.11229v1 Announce Type: new Abstract: Automation platforms such as GitHub Actions and n8n are increasingly adopting so-called agentic workflows, which integrate Large Language Model (LLM) ag…