Cover Image

LLMZ+: Contextual Prompt Whitelist Principles for Agentic LLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Pawelek, Tom, Patel, Raj, Crowell, Charlotte, Amiri, Noorbakhsh, Mittal, Sudip, Rahimi, Shahram, Perkins, Andy
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Secure MLOps: Surveying Attacks, Mitigation Strategies, and Research Challenges
by: Patel, Raj, et al.
Published: (2025)

MedInsight: A Multi-Source Context Augmentation Framework for Generating Patient-Centric Medical Responses using Large Language Models
by: Neupane, Subash, et al.
Published: (2024)

Towards a HIPAA Compliant Agentic AI System in Healthcare
by: Neupane, Subash, et al.
Published: (2025)

Bridging the Gap: Toward Cognitive Autonomy in Artificial Intelligence
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2025)

IRSDA: An Agent-Orchestrated Framework for Enterprise Intrusion Response
by: Panigrahi, Damodar, et al.
Published: (2025)

Towards Neurocognitive-Inspired Intelligence: From AI's Structural Mimicry to Human-Like Functional Cognition
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2025)

Patient-Centric Knowledge Graphs: A Survey of Current Methods, Challenges, and Applications
by: Khatib, Hassan S. Al, et al.
Published: (2024)

Surformer v1: Transformer-Based Surface Classification Using Tactile and Vision Features
by: Kansana, Manish, et al.
Published: (2025)

R-GAT: Cancer Document Classification Leveraging Graph-Based Residual Network for Scenarios with Limited Data
by: Hossain, Elias, et al.
Published: (2024)

From Questions to Insightful Answers: Building an Informed Chatbot for University Resources
by: Neupane, Subash, et al.
Published: (2024)

From Patient Consultations to Graphs: Leveraging LLMs for Patient Journey Knowledge Graph Construction
by: Khatib, Hassan S. Al, et al.
Published: (2025)

Estimating Reliability of Electric Vehicle Charging Ecosystem using the Principle of Maximum Entropy
by: Tripathi, Himanshu, et al.
Published: (2025)

Learning in Focus: Detecting Behavioral and Collaborative Engagement Using Vision Transformers
by: Penchala, Sindhuja, et al.
Published: (2025)

Transfer Learning Applied to Computer Vision Problems: Survey on Current Progress, Limitations, and Opportunities
by: Panda, Aaryan, et al.
Published: (2024)

AgenticCyOps: Securing Multi-Agentic AI Integration in Enterprise Cyber Operations
by: Mitra, Shaswata, et al.
Published: (2026)

ACE-TA: An Agentic Teaching Assistant for Grounded Q&A, Quiz Generation, and Code Tutoring
by: Tripathi, Himanshu, et al.
Published: (2026)

A Temporal Anomaly Detection System for Vehicles utilizing Functional Working Groups and Sensor Channels
by: Neupane, Subash, et al.
Published: (2022)

AI Learning Algorithms: Deep Learning, Hybrid Models, and Large-Scale Model Integration
by: Golilarz, Noorbakhsh Amiri, et al.
Published: (2024)

The AI Pentad, the CHARME$^{2}$D Model, and an Assessment of Current-State AI Regulation
by: Gao, Di Kevin, et al.
Published: (2025)

A White-Box Adversarial Attack Against a Digital Twin
by: Patterson, Wilson, et al.
Published: (2022)

A Survey of Transformer Enabled Time Series Synthesis
by: Sommers, Alexander, et al.
Published: (2024)

CLINICSUM: Utilizing Language Models for Generating Clinical Summaries from Patient-Doctor Conversations
by: Neupane, Subash, et al.
Published: (2024)

Gamma2Patterns: Deep Cognitive Attention Region Identification and Gamma-Alpha Pattern Analysis
by: Jahan, Sobhana, et al.
Published: (2026)

Eclectic Rule Extraction for Explainability of Deep Neural Network based Intrusion Detection Systems
by: Ables, Jesse, et al.
Published: (2024)

FALCON: Autonomous Cyber Threat Intelligence Mining with LLMs for IDS Rule Generation
by: Mitra, Shaswata, et al.
Published: (2025)

Explainable Anomaly Detection: Counterfactual driven What-If Analysis
by: Cummins, Logan, et al.
Published: (2024)

Edge-Based Learning for Improved Classification Under Adversarial Noise
by: Kansana, Manish, et al.
Published: (2025)

parHSOM: A novel parallel Hierarchical Self-Organizing Map implementation
by: Lane, Rebekah, et al.
Published: (2026)

Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities
by: Neupane, Subash, et al.
Published: (2023)

A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics
by: Fernandez, Ivan A., et al.
Published: (2024)

LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
by: Mitra, Shaswata, et al.
Published: (2024)

Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
by: Cummins, Logan, et al.
Published: (2024)

Navigating MLOps: Insights into Maturity, Lifecycle, Tools, and Careers
by: Stone, Jasper, et al.
Published: (2025)

Improving Coherence and Persistence in Agentic AI for System Optimization
by: Karimi, Pantea, et al.
Published: (2026)

Poison Attacks and Adversarial Prompts Against an Informed University Virtual Assistant
by: Fernandez, Ivan A., et al.
Published: (2024)

Surformer v2: A Multimodal Classifier for Surface Understanding from Touch and Vision
by: Kansana, Manish, et al.
Published: (2025)

Embeddings to Diagnosis: Latent Fragility under Agentic Perturbations in Clinical LLMs
by: Vijayaraj, Raj Krishnan
Published: (2025)

Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
by: Memari, Majid, et al.
Published: (2024)

AI-Based Demand Forecasting and Load Balancing for Optimising Energy use in Healthcare Systems: A real case study
by: Rahimi, Iman, et al.
Published: (2025)

AAD-LLM: Adaptive Anomaly Detection Using Large Language Models
by: Russell-Gilbert, Alicia, et al.
Published: (2024)