arXiv:2603.20276v1 Announce Type: new Abstract: A hallmark of human intelligence is Introspection-the ability to assess and reason about one's own cognitive processes. Introspection has emerged as a p…
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arXiv:2603.20276v1 Announce Type: new Abstract: A hallmark of human intelligence is Introspection-the ability to assess and reason about one's own cognitive processes. Introspection has emerged as a p…
arXiv:2603.20270v1 Announce Type: new Abstract: Generating executable simulations from natural language specifications remains a challenging problem due to the limited reasoning capacity of large lang…
arXiv:2603.20267v1 Announce Type: new Abstract: While Large Language Models (LLMs) have advanced complex reasoning, prominent methods like the Tree of Thoughts (ToT) framework face a critical trade-of…
arXiv:2603.20260v1 Announce Type: new Abstract: The integration of Large Language Models into Multi-Agent Systems (MAS) has enabled the so-lution of complex, long-horizon tasks through collaborative r…
arXiv:2603.20213v1 Announce Type: new Abstract: Generative search engines represent a transition from traditional ranking-based retrieval to Large Language Model (LLM)-based synthesis, transforming op…
arXiv:2603.21652v1 Announce Type: new Abstract: Phishing attacks remain a persistent cybersecurity threat, and the widespread adoption of TLS certificates has unintentionally enabled malicious website…
arXiv:2603.21642v1 Announce Type: new Abstract: Prompt injection is listed as the number-one vulnerability class in the OWASP Top 10 for LLM Applications that can subvert LLM guardrails, disclose sens…
arXiv:2603.21641v1 Announce Type: new Abstract: The Model Context Protocol (MCP) has emerged as a standard for connecting Large Language Models (LLMs) to external tools and data. However, MCP servers …
arXiv:2603.21556v1 Announce Type: new Abstract: Developers rely on online tutorials to learn web application security, but tutorial quality varies. We reviewed 132 free security tutorials to examine t…
arXiv:2603.21515v1 Announce Type: new Abstract: To comply with data protection regulations such as the EU General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), webs…
arXiv:2603.21469v1 Announce Type: new Abstract: In this work, we identify a set of side-channels in our Confidential Federated Compute platform that a hypothetical insider could exploit to circumvent …
arXiv:2603.21411v1 Announce Type: new Abstract: Adversarial-example-based fingerprinting approaches, which leverage the decision boundary characteristics of deep neural networks (DNNs) to craft finger…
arXiv:2603.21296v1 Announce Type: new Abstract: Advanced Persistent Threats (APTs) are stealthy, multi-stage attacks that require adaptive and timely defense. While deep reinforcement learning (DRL) e…
arXiv:2603.21294v1 Announce Type: new Abstract: At S&P 2023, Puschner et al. made a valuable dataset for hardware Trojan detection research publicly available. It contains a complete set of Scanning E…
arXiv:2603.21270v1 Announce Type: new Abstract: While the size of a data breach is typically measured by the number of (consumer, customer, or user) records exposed or compromised, its economic impact…
arXiv:2603.21231v1 Announce Type: new Abstract: Host-acting agents promise a convenient interaction model in which users specify goals and the system determines how to realize them. We argue that this…
arXiv:2603.21211v1 Announce Type: new Abstract: Open Radio Access Network (O-RAN) is a major advancement in the telecommunications field, providing standardized interfaces that promote interoperabilit…
arXiv:2603.21194v1 Announce Type: new Abstract: Multi-agent discussions have been widely adopted, motivating growing efforts to develop attacks that expose their vulnerabilities. In this work, we stud…
arXiv:2603.21117v1 Announce Type: new Abstract: Tor is a low-latency anonymous communication network that protects user privacy by encrypting website traffic. However, recent website fingerprinting (W…
arXiv:2603.21058v1 Announce Type: new Abstract: Smart contracts have transformed decentralized finance, but flaws in their logic still create major security threats. Most existing vulnerability detect…
arXiv:2603.21019v1 Announce Type: new Abstract: With the rapid evolution of Large Language Model (LLM) agent ecosystems, centralized skill marketplaces have emerged as pivotal infrastructure for augme…
arXiv:2603.20981v1 Announce Type: new Abstract: Unmanned Aerial Vehicles (UAVs) are valuable for mission-critical systems like surveillance, rescue, or delivery. Not surprisingly, such systems attract…
arXiv:2603.20953v1 Announce Type: new Abstract: AI agents today have passwords but no permission slips. They execute tool calls (fund transfers, database queries, shell commands, sub-agent delegation)…
arXiv:2603.20937v1 Announce Type: new Abstract: This paper presents a symmetric stream cipher that utilizes the dynamic properties of random cubic mappings in the complex plane to generate pseudo-rand…