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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…
arXiv:2605.11202v1 Announce Type: new Abstract: LLM inference and serving systems have become security-critical infrastructure; however, many of their most concerning failures arise from the serving l…
arXiv:2605.11188v1 Announce Type: new Abstract: SQL injection (SQLi) attacks are still one of the serious attacks ranked in the Open Worldwide Application Security Project (OWASP) Top 10 threats. Toda…
arXiv:2605.11163v1 Announce Type: new Abstract: The irreversible nature of blockchain transactions makes the identification of smart contract vulnerabilities an essential requirement for secure system…
arXiv:2605.11122v1 Announce Type: new Abstract: Federated Learning remains highly susceptible to backdoor attacks--malicious clients inject targeted behaviours into the global model. Existing defenses…
arXiv:2605.11086v1 Announce Type: new Abstract: AI agents are rapidly gaining capabilities that could significantly reshape cybersecurity, making rigorous evaluation urgent. A critical capability is e…
arXiv:2605.11053v1 Announce Type: new Abstract: The Model Context Protocol (MCP) has become a widely adopted interface for LLM agents to invoke external tools, yet learned monitoring of MCP tool-call …
arXiv:2605.11047v1 Announce Type: new Abstract: Agentic language-model systems increasingly rely on mutable execution contexts, including files, memory, tools, skills, and auxiliary artifacts, creatin…
arXiv:2605.11040v1 Announce Type: new Abstract: Consumer unmanned aerial vehicles (UAVs) have evolved into capable computing platforms, yet their embedded firmware remains largely inaccessible to the …