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Found 8 papers, 2 papers with code
MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models
Large Language Models (LLMs) have shown impressive capabilities in generating human-like responses.
LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
In this work, we present LOCALINTEL, a novel automated knowledge contextualization system that, upon prompting, retrieves threat reports from the global threat repositories and uses its local knowledge database to contextualize them for a specific organization.
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
In an increasingly interconnected world, where information is the lifeblood of modern society, regular cyber-attacks sabotage the confidentiality, integrity, and availability of digital systems and information.
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
Motivated by the need to address the security concerns in AI-Robotics systems, this paper presents a comprehensive survey and taxonomy across three dimensions: attack surfaces, ethical and legal concerns, and Human-Robot Interaction (HRI) security.
URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments
Results show that the proposed image segmentation and planning methods outperform conventional planning algorithms in terms of the quality and feasibility of the initial path, as well as the quality of replanned paths.
Survey of Malware Analysis through Control Flow Graph using Machine Learning
Malware is a significant threat to the security of computer systems and networks which requires sophisticated techniques to analyze the behavior and functionality for detection.
CAPoW: Context-Aware AI-Assisted Proof of Work based DDoS Defense
Critical servers can be secured against distributed denial of service (DDoS) attacks using proof of work (PoW) systems assisted by an Artificial Intelligence (AI) that learns contextual network request patterns.
A Policy Driven AI-Assisted PoW Framework
Proof of Work (PoW) based cyberdefense systems require incoming network requests to expend effort solving an arbitrary mathematical puzzle.
