Cover Image

Prompt Injection Attacks on Large Language Models in Oncology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Clusmann, Jan, Ferber, Dyke, Wiest, Isabella C., Schneider, Carolin V., Brinker, Titus J., Foersch, Sebastian, Truhn, Daniel, Kather, Jakob N.
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Novel Evaluation Framework for Assessing Resilience Against Prompt Injection Attacks in Large Language Models
by: Yip, Daniel Wankit, et al.
Published: (2024)

AttackEval: A Systematic Empirical Study of Prompt Injection Attack Effectiveness Against Large Language Models
by: Wang, Jackson
Published: (2026)

PromptShield: Deployable Detection for Prompt Injection Attacks
by: Jacob, Dennis, et al.
Published: (2025)

Defense Against Prompt Injection Attack by Leveraging Attack Techniques
by: Chen, Yulin, et al.
Published: (2024)

The Vulnerability of LLM Rankers to Prompt Injection Attacks
by: Yin, Yu, et al.
Published: (2026)

From Prompt Injections to SQL Injection Attacks: How Protected is Your LLM-Integrated Web Application?
by: Pedro, Rodrigo, et al.
Published: (2023)

Misleading Large Language Models used (or misused) in Scientific Peer-Reviewing via Hidden Prompt-Injection Attacks
by: Collu, Matteo Gioele, et al.
Published: (2025)

TopicAttack: An Indirect Prompt Injection Attack via Topic Transition
by: Chen, Yulin, et al.
Published: (2025)

An Early Categorization of Prompt Injection Attacks on Large Language Models
by: Rossi, Sippo, et al.
Published: (2024)

Prompt Injection Attack to Tool Selection in LLM Agents
by: Shi, Jiawen, et al.
Published: (2025)

PINA: Prompt Injection Attack against Navigation Agents
by: Liu, Jiani, et al.
Published: (2026)

Can Indirect Prompt Injection Attacks Be Detected and Removed?
by: Chen, Yulin, et al.
Published: (2025)

System Prompt Poisoning: Persistent Attacks on Large Language Models Beyond User Injection
by: Li, Zongze, et al.
Published: (2025)

Backdoored Retrievers for Prompt Injection Attacks on Retrieval Augmented Generation of Large Language Models
by: Clop, Cody, et al.
Published: (2024)

PromptLocate: Localizing Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2025)

Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
by: Chen, Yulin, et al.
Published: (2025)

AlignSentinel: Alignment-Aware Detection of Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2026)

Goal-guided Generative Prompt Injection Attack on Large Language Models
by: Zhang, Chong, et al.
Published: (2024)

Securing Large Language Models (LLMs) from Prompt Injection Attacks
by: Suri, Omar Farooq Khan, et al.
Published: (2025)

ObliInjection: Order-Oblivious Prompt Injection Attack to LLM Agents with Multi-source Data
by: Wang, Reachal, et al.
Published: (2025)

Strengthening Polymorphic Prompt Assembling: Dynamic Separator Generation Against Emerging Prompt Injection Attacks
by: Dorzhiev, Nima, et al.
Published: (2026)

Adaptive Attacks Break Defenses Against Indirect Prompt Injection Attacks on LLM Agents
by: Zhan, Qiusi, et al.
Published: (2025)

Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology
by: Ferber, Dyke, et al.
Published: (2024)

Evaluation of Prompt Injection Defenses in Large Language Models
by: Deep, Priyal, et al.
Published: (2026)

System Prompt Extraction Attacks and Defenses in Large Language Models
by: Das, Badhan Chandra, et al.
Published: (2025)

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

Analysis of LLMs Against Prompt Injection and Jailbreak Attacks
by: Jaiswal, Piyush, et al.
Published: (2026)

Securing AI Agents Against Prompt Injection Attacks
by: Ramakrishnan, Badrinath, et al.
Published: (2025)

AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
by: Wang, Yihan, et al.
Published: (2025)

Attention is All You Need to Defend Against Indirect Prompt Injection Attacks in LLMs
by: Zhong, Yinan, et al.
Published: (2025)

Clouding the Mirror: Stealthy Prompt Injection Attacks Targeting LLM-based Phishing Detection
by: Koide, Takashi, et al.
Published: (2026)

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction
by: Chen, Yulin, et al.
Published: (2025)

Securing Large Language Models: Addressing Bias, Misinformation, and Prompt Attacks
by: Peng, Benji, et al.
Published: (2024)

Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models
by: Shu, Dong, et al.
Published: (2024)

Prompt Inference Attack on Distributed Large Language Model Inference Frameworks
by: Luo, Xinjian, et al.
Published: (2025)

Prompt Inversion Attack against Collaborative Inference of Large Language Models
by: Qu, Wenjie, et al.
Published: (2025)

Persona Attack: Incremental Memory Injection Jailbreak Attack against Large Language Models
by: Park, Junyoung, et al.
Published: (2026)

VortexPIA: Indirect Prompt Injection Attack against LLMs for Efficient Extraction of User Privacy
by: Cui, Yu, et al.
Published: (2025)

MAD-Spear: A Conformity-Driven Prompt Injection Attack on Multi-Agent Debate Systems
by: Cui, Yu, et al.
Published: (2025)

System-Level Defense against Indirect Prompt Injection Attacks: An Information Flow Control Perspective
by: Wu, Fangzhou, et al.
Published: (2024)