arXiv:2603.17673v1 Announce Type: new Abstract: LLM agents are increasingly relevant to research domains such as vulnerability discovery. Yet, the strongest systems remain closed and cloud-only, makin…
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arXiv:2603.17673v1 Announce Type: new Abstract: LLM agents are increasingly relevant to research domains such as vulnerability discovery. Yet, the strongest systems remain closed and cloud-only, makin…
arXiv:2603.17513v1 Announce Type: new Abstract: Recent advancements in AI-generated content (AIGC) have introduced new challenges in intellectual property protection and the authentication of generate…
arXiv:2603.17453v1 Announce Type: new Abstract: Function Secret Sharing (FSS) schemes enable sharing efficiently secret functions. Schemes dedicated to point functions, referred to as Distributed Poin…
arXiv:2603.17419v1 Announce Type: new Abstract: Autonomous AI agents powered by large language models are being deployed in production with capabilities including shell execution, file system access, …
arXiv:2603.17357v1 Announce Type: new Abstract: Computer use agents create new privacy risks: training data collected from real websites inevitably contains sensitive information, and cloud-hosted inf…
arXiv:2603.17331v1 Announce Type: new Abstract: Federated computing (FC) enables collaborative computation such as machine learning, analytics, or data processing across distributed organizations keep…
arXiv:2603.17292v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems introduce a critical vulnerability: contextual leakage, where adversaries exploit instruction-following to …
arXiv:2603.17272v1 Announce Type: new Abstract: Cyber deception assists in increasing the attacker's budget in reconnaissance or any early phases of threat intrusions. In the past, numerous methods of…
arXiv:2603.17261v1 Announce Type: new Abstract: Privacy protection mechanisms are a fundamental aspect of security in cryptocurrency systems, particularly in decentralized networks such as Bitcoin. Al…
arXiv:2603.17239v1 Announce Type: new Abstract: Agentic LLM systems equipped with persistent memory, RAG pipelines, and external tool connectors face a class of attacks - Logic-layer Prompt Control In…
arXiv:2603.17176v1 Announce Type: new Abstract: Retrieval augmented generation systems have become an integral part of everyday life. Whether in internet search engines, email systems, or service chat…
arXiv:2603.17174v1 Announce Type: new Abstract: Code generation large language models (LLMs) are increasingly integrated into modern software development workflows. Recent work has shown that these mo…
arXiv:2603.17170v1 Announce Type: new Abstract: The emerging agentic web envisions AI agents that reliably fulfill users' natural-language (NL)-based tasks by interacting with existing web services. H…
arXiv:2603.17149v1 Announce Type: new Abstract: Secure communication is the cornerstone of modern infrastructures, yet achieving unconditional security -resistant to any computational attack- remains …
arXiv:2603.17123v1 Announce Type: new Abstract: Large Language Models increasingly power critical infrastructure from healthcare to finance, yet their vulnerability to adversarial manipulation threate…
arXiv:2603.17100v1 Announce Type: new Abstract: Provenance graphs model causal system-level interactions from logs, enabling anomaly detectors to learn normal behavior and detect deviations as attacks…
arXiv:2603.16969v1 Announce Type: new Abstract: This paper presents DeepStage, a deep reinforcement learning (DRL) framework for adaptive, stage-aware defense against Advanced Persistent Threats (APTs…
arXiv:2603.16960v1 Announce Type: new Abstract: We study adversarial robustness of open-source vision-language model (VLM) agents deployed in a self-contained e-commerce environment built to simulate …
arXiv:2603.16938v1 Announce Type: new Abstract: Contemporary AI governance frameworks rely heavily on post hoc oversight, policy guidance, and behavioral alignment techniques, yet these mechanisms bec…
arXiv:2603.16928v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is proposed as a method for overseeing the internal reasoning of language-model agents. Prior work has shown that when…
A vulnerability was found in PX4 PX4-Autopilot up to 1.17.0-rc2 and classified as critical . Impacted is the function sscanf . The manipulation results in stack-based buffer overflow. This vulnerabili…
A vulnerability was found in kanbn kan up to 0.5.4 . It has been classified as critical . The affected element is the function fetch of the file /api/download/attatchment of the component Attachment D…
This activity was found and reported by BACS student Adam Thorman as part of one of his assignments which I posted his final paper [1] last week. This activity appeared to only ha…