arXiv:2608.00718v1 Announce Type: new Abstract: Multi-agent LLM pipelines orchestrate multiple specialized language model agents into structured workflows where intermediate outputs are passed across …
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arXiv:2608.00718v1 Announce Type: new Abstract: Multi-agent LLM pipelines orchestrate multiple specialized language model agents into structured workflows where intermediate outputs are passed across …
arXiv:2608.00698v1 Announce Type: new Abstract: We propose the SECUMAN ontology and shapes for representing and analysing cybersecurity risk-management documentation for medical devices. Cybersecurity…
arXiv:2608.00672v1 Announce Type: new Abstract: Security Operations Centers (SOCs) process large volumes of security events, requiring analysts to accurately detect and assess ongoing cyberattacks und…
arXiv:2608.00660v1 Announce Type: new Abstract: Containerized workloads are commonly built via CI/CD pipelines, stored in registries, and executed across heterogeneous infrastructures, including cloud…
arXiv:2608.00643v1 Announce Type: new Abstract: Network attackers often conceal malicious communication within legitimate Internet traffic. Existing CDN-based evasion techniques rely on SNI--Host inco…
arXiv:2608.00583v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is meant to catch the reward hacks that look clean in the actions and betray themselves only in the reasoning. We show…
arXiv:2608.00543v1 Announce Type: new Abstract: Although semantic watermarking is considered a promising safeguard for images generated by Latent Diffusion Models (LDMs), the reliance of the watermark…
arXiv:2608.00541v1 Announce Type: new Abstract: Digital forensics has become an integral part of modern criminal proceedings, yet its effective integration remains challenging because of increasing da…
arXiv:2608.00515v1 Announce Type: new Abstract: Large language model tutors can be correct and helpful yet disclose an answer or decisive reasoning before that disclosure is authorized. We formalize t…
arXiv:2608.00382v1 Announce Type: new Abstract: Generative text steganography enables LLM agents to exchange secret information through task-relevant messages. Yet most methods evaluate recovery on se…
arXiv:2608.00375v1 Announce Type: new Abstract: Recent work on Grafting decouples scale factors from ciphertext moduli, enabling more flexible precision management in RNS-CKKS. However, the multiplica…
arXiv:2608.00282v1 Announce Type: new Abstract: Research ethics is a controversial and emotionally charged topic in the security and privacy community, sparking discussions at conferences and on socia…
arXiv:2608.00202v1 Announce Type: new Abstract: Large Language Model (LLM)-based web agents are increasingly evolving from single-agent systems (SAS) to multi-agent systems (MAS). While MAS can lead t…
arXiv:2608.00150v1 Announce Type: new Abstract: The Model Context Protocol (MCP) has seen rapid adoption since its November 2024 launch, with over 21,000 server instances detectable on the public inte…
arXiv:2608.00143v1 Announce Type: new Abstract: Automated attack chain generation is critical for modern cybersecurity, yet manual construction fails to scale as adversary behaviors expand. While clas…
arXiv:2608.00134v1 Announce Type: new Abstract: As LLMs become increasingly integrated into complex applications, their vulnerability to adversarial attacks has raised significant concerns. However, e…
arXiv:2608.00132v1 Announce Type: new Abstract: Version control systems (VCS), including central VCS (CVCS) and distributed VCS (DVCS), are widely adopted to manage the changes to various types of dat…
arXiv:2608.00118v1 Announce Type: new Abstract: Cybersecurity is a fundamental requirement for protecting wearable devices used in healthcare Internet of Things (H-IoT) systems. Security failures in t…
arXiv:2608.00104v1 Announce Type: new Abstract: Agentic AI networking (AgentNet) systems rely heavily on third-party skillset implementations and distributed multi-agent collaboration, yet they face m…
ESET Showcases Cutting-Edge AI Security at Black Hat 2026 Cyber Magazine
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Humanoid robots usually elicit more cringe than awe: They stum…
ESET Showcases Cutting-Edge AI Security at Black Hat 2026 GlobeNewswire
MIT Technology Review Explains: Let our writers untangle the complex, messy world of technology to help you understand what’s coming next. You can read more from the series here. When two OpenAI model…
arXiv:2607.29246v1 Announce Type: new Abstract: Modern large language models (LLMs) are expected not just to answer correctly, but to adapt their behavior to different human values and use cases. As a…