Cover Image

Goal-Driven Risk Assessment for LLM-Powered Systems: A Healthcare Case Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nagaraja, Neha, Bahsi, Hayretdin
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Where Do LLM-based Systems Break? A System-Level Security Framework for Risk Assessment and Treatment
by: Nagaraja, Neha, et al.
Published: (2026)

From Prompt to Physical Actuation: Holistic Threat Modeling of LLM-Enabled Robotic Systems
by: Nagaraja, Neha, et al.
Published: (2026)

Enhancing Security in LLM Applications: A Performance Evaluation of Early Detection Systems
by: Gakh, Valerii, et al.
Published: (2025)

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt
by: Wang, Zhilong, et al.
Published: (2025)

Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study
by: Tamberg, Karl, et al.
Published: (2024)

Enhancing Continual Learning for Software Vulnerability Prediction: Addressing Catastrophic Forgetting via Hybrid-Confidence-Aware Selective Replay for Temporal LLM Fine-Tuning
by: Dou, Xuhui, et al.
Published: (2026)

Using Large Language Models for Template Detection from Security Event Logs
by: Vaarandi, Risto, et al.
Published: (2024)

Incremental Federated Learning for Intrusion Detection in IoT Networks under Evolving Threat Landscape
by: Rehman, Muaan Ur, et al.
Published: (2026)

Evaluating explainable AI for deep learning-based network intrusion detection system alert classification
by: Kalakoti, Rajesh, et al.
Published: (2025)

From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems
by: Huang, Shaofei, et al.
Published: (2026)

A Systematic Literature Review of Cyber Security Monitoring in Maritime
by: Vaarandi, Risto, et al.
Published: (2025)

Mapping LLM Security Landscapes: A Comprehensive Stakeholder Risk Assessment Proposal
by: Pankajakshan, Rahul, et al.
Published: (2024)

POLAR: Automating Cyber Threat Prioritization through LLM-Powered Assessment
by: Tang, Luoxi, et al.
Published: (2025)

Structural Enforcement of Goal Integrity in AI Agents via Separation-of-Powers Architecture
by: Xiang, Rong
Published: (2026)

Image-based Prompt Injection: Hijacking Multimodal LLMs through Visually Embedded Adversarial Instructions
by: Nagaraja, Neha, et al.
Published: (2026)

Smart Privacy Policy Assistant: An LLM-Powered System for Transparent and Actionable Privacy Notices
by: Kalvakuntla, Sriharshini, et al.
Published: (2026)

Securing Generative AI in Healthcare: A Zero-Trust Architecture Powered by Confidential Computing on Google Cloud
by: Amanna, Adaobi, et al.
Published: (2025)

Dynamic Risk Assessments for Offensive Cybersecurity Agents
by: Wei, Boyi, et al.
Published: (2025)

Leveraging Large Language Models for Cybersecurity Risk Assessment -- A Case from Forestry Cyber-Physical Systems
by: Gultekin, Fikret Mert, et al.
Published: (2025)

CIA+TA Risk Assessment for AI Reasoning Vulnerabilities
by: Aydin, Yuksel
Published: (2025)

Unveiling Privacy Risks in LLM Agent Memory
by: Wang, Bo, et al.
Published: (2025)

Privacy Challenges and Solutions in Retrieval-Augmented Generation-Enhanced LLMs for Healthcare Chatbots: A Review of Applications, Risks, and Future Directions
by: Guan, Shaowei, et al.
Published: (2025)

LLM-Powered Intent-Based Categorization of Phishing Emails
by: Eilertsen, Even, et al.
Published: (2025)

AI-Driven Cybersecurity Threats: A Survey of Emerging Risks and Defensive Strategies
by: Erukude, Sai Teja, et al.
Published: (2026)

WIPI: A New Web Threat for LLM-Driven Web Agents
by: Wu, Fangzhou, et al.
Published: (2024)

WaveVerif: Acoustic Side-Channel based Verification of Robotic Workflows
by: Erdogan, Zeynep Yasemin, et al.
Published: (2025)

Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
by: Zhang, Quan, et al.
Published: (2024)

MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study
by: Van hamme, Tim, et al.
Published: (2026)

SeedAIchemy: LLM-Driven Seed Corpus Generation for Fuzzing
by: Wen, Aidan, et al.
Published: (2025)

Formalization Driven LLM Prompt Jailbreaking via Reinforcement Learning
by: Wang, Zhaoqi, et al.
Published: (2025)

LLM-Driven Auto Configuration for Transient IoT Device Collaboration
by: Shastri, Hetvi, et al.
Published: (2025)

The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks
by: Ayzenshteyn, Daniel, et al.
Published: (2024)

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms
by: Gasmi, Tarek, et al.
Published: (2025)

LLM-Driven Feature-Level Adversarial Attacks on Android Malware Detectors
by: Lan, Tianwei, et al.
Published: (2025)

BARTPredict: Empowering IoT Security with LLM-Driven Cyber Threat Prediction
by: Diaf, Alaeddine, et al.
Published: (2025)

SoK: Security and Privacy Risks of Healthcare AI
by: Chang, Yuanhaur, et al.
Published: (2024)

Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation for LLM-Powered Agents
by: Wang, Shouju, et al.
Published: (2025)

EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability
by: Lim, Bryan, et al.
Published: (2025)

PrompTrend: Continuous Community-Driven Vulnerability Discovery and Assessment for Large Language Models
by: Gasmi, Tarek, et al.
Published: (2025)

Data-Driven Falsification of Cyber-Physical Systems
by: Kundu, Atanu, et al.
Published: (2025)