cyberintel.kalymoon.com · 4773 articles · updated every 4 hours · grows forever
arXiv:2605.30570v1 Announce Type: new Abstract: We investigate the application of MAP-Elites (a well-known quality diversity algorithm) to design levels for First-Person Shooter (FPS) games. We consid…
arXiv:2605.30563v1 Announce Type: new Abstract: Factored tasks are a classical planning representation that extends SAS+ with limited forms of disjunctive preconditions, conditional effects, and angel…
arXiv:2605.30542v1 Announce Type: new Abstract: World models for embodied AI must be physically viable: constructed to answer intervention queries by representing the physical structure governing acti…
arXiv:2605.30512v1 Announce Type: new Abstract: Generating physics diagrams from text requires strict adherence to physical laws. While current generative models produce visually plausible outputs, th…
arXiv:2605.31593v1 Announce Type: new Abstract: Language models can find thousands of severe software vulnerabilities, and agents are increasingly being misused for cyberattacks. To avoid detection, a…
arXiv:2605.31375v1 Announce Type: new Abstract: Financial inclusion has expanded significantly across Africa through mobile money services delivered primarily via USSD technology. However, visually im…
arXiv:2605.31337v1 Announce Type: new Abstract: Reliable identification of encrypted data fragments is essential in cybersecurity, with applications to ransomware detection, digital forensics, and lar…
arXiv:2605.31326v1 Announce Type: new Abstract: The IETF standard Manufacturer Usage Description (MUD) enables manufacturers to equip IoT devices with certified URLs that provide traffic profiles for …
arXiv:2605.31277v1 Announce Type: new Abstract: Traditional traffic analysis is being fundamentally challenged by the rapid adoption of encryption, tunnelling, and privacy-preserving protocols, which …
arXiv:2605.31246v1 Announce Type: new Abstract: Prompt learning is a new machine learning paradigm that has attracted ample attention due to its simplicity and proven efficacy. Despite its growing ado…
arXiv:2605.31199v1 Announce Type: new Abstract: Capturing dynamic malware behavior in a practical but still semantically precise manner remains a significant challenge in cyber threat intelligence. Wh…
arXiv:2605.31140v1 Announce Type: new Abstract: Large Language Models (LLMs) remain highly vulnerable to diverse attacks, particularly in black-box settings where the internals of target models are in…
arXiv:2605.31135v1 Announce Type: new Abstract: The misuse of Java security APIs is a serious security problem in software development. Research in 2024 has shown that this problem is widespread in LL…
arXiv:2605.31042v1 Announce Type: new Abstract: LLM agents are evolving from conversational chatbots to operational tools in real-world workspaces. In local agentic harnesses, an LLM can read and writ…
arXiv:2605.31020v1 Announce Type: new Abstract: Despite the widespread use of Transport Layer Security (TLS), its security guarantees are frequently compromised by outdated versions and misconfigurati…
arXiv:2605.30998v1 Announce Type: new Abstract: The agentic economy demands programmatic financial rails, positioning the x402 protocol as the de facto standard for machine-to-machine payments. Howeve…
arXiv:2605.30902v1 Announce Type: new Abstract: Virtualization obfuscation is a more powerful obfuscation technique compared to other obfuscation methods, and as it is increasingly being applied to ma…
arXiv:2605.30883v1 Announce Type: new Abstract: The rise of LLM agents introduces a new threat by enabling planning, coding, and even end-to-end execution of expert-level attack workflows. However, th…
arXiv:2605.30848v1 Announce Type: new Abstract: Agentic LLMs with web search change the threat model for text anonymization: weak contextual cues can become cross-referenceable evidence for re-identif…
arXiv:2605.30837v1 Announce Type: new Abstract: Prompt-injection detectors are heterogeneous: each is strong on a different slice of attacks, and none is always reliable. Yet existing systems still tr…
arXiv:2605.30808v1 Announce Type: new Abstract: Preference alignment is a crucial post-training step for large language models (LLMs) to ensure their outputs align with human values. However, post-tra…
arXiv:2605.30697v1 Announce Type: new Abstract: The System-Theoretic Process Analysis (STPA) is a well-established hazard analysis technique that has been applied to a wide range of safety-critical sy…
arXiv:2605.30693v1 Announce Type: new Abstract: Building robust safety guardrails is essential for deploying Large Language Models across diverse real-world applications. However, this goal remains ch…
arXiv:2605.30686v1 Announce Type: new Abstract: ReAct agents that interleave chain-of-thought reasoning with tool calls are increasingly deployed for real tasks such as scheduling, file retrieval, and…