Cover Image

Measuring Real-World Prompt Injection Attacks in LLM-based Resume Screening

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Mohan, Jia, Yuqi, Tan, Zhen, Jiang, Steven, Gong, Neil Zhenqiang, Chen, Tianlong, Song, Dawn
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence Computation and Language Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks
by: Liu, Yupei, et al.
Published: (2025)

A Critical Evaluation of Defenses against Prompt Injection Attacks
by: Jia, Yuqi, et al.
Published: (2025)

Formalizing and Benchmarking Prompt Injection Attacks and Defenses
by: Liu, Yupei, et al.
Published: (2023)

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

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

Optimization-based Prompt Injection Attack to LLM-as-a-Judge
by: Shi, Jiawen, et al.
Published: (2024)

SecInfer: Preventing Prompt Injection via Inference-time Scaling
by: Liu, Yupei, et al.
Published: (2025)

MalTool: Malicious Tool Attacks on LLM Agents
by: Hu, Yuepeng, et al.
Published: (2026)

Evaluating LLM-based Personal Information Extraction and Countermeasures
by: Liu, Yupei, et al.
Published: (2024)

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

Competitive Advantage Attacks to Decentralized Federated Learning
by: Jia, Yuqi, et al.
Published: (2023)

WAInjectBench: Benchmarking Prompt Injection Detections for Web Agents
by: Liu, Yinuo, et al.
Published: (2025)

WebSentinel: Detecting and Localizing Prompt Injection Attacks for Web Agents
by: Wang, Xilong, et al.
Published: (2026)

Enhancing Prompt Injection Attacks to LLMs via Poisoning Alignment
by: Shao, Zedian, et al.
Published: (2024)

PIShield: Detecting Prompt Injection Attacks via Intrinsic LLM Features
by: Zou, Wei, et al.
Published: (2025)

Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
by: Xie, Yueqi, et al.
Published: (2024)

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning
by: Jia, Yuqi, et al.
Published: (2024)

PromptArmor: Simple yet Effective Prompt Injection Defenses
by: Shi, Tianneng, et al.
Published: (2025)

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

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

Breaking the Prompt Wall (I): A Real-World Case Study of Attacking ChatGPT via Lightweight Prompt Injection
by: Chang, Xiangyu, et al.
Published: (2025)

A Transfer Attack to Image Watermarks
by: Hu, Yuepeng, et al.
Published: (2024)

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
by: Zhang, Jinghuai, et al.
Published: (2022)

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

BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models
by: Yuan, Zenghui, et al.
Published: (2025)

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

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

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

Fingerprinting LLMs via Prompt Injection
by: Hu, Yuepeng, et al.
Published: (2025)

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

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

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

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

Fake Resume Attacks: Data Poisoning on Online Job Platforms
by: Yamashita, Michiharu, et al.
Published: (2024)

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

Leave My Images Alone: Preventing Multi-Modal Large Language Models from Analyzing Images via Visual Prompt Injection
by: Shao, Zedian, et al.
Published: (2026)

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

Virtual Context: Enhancing Jailbreak Attacks with Special Token Injection
by: Zhou, Yuqi, et al.
Published: (2024)

AgentWatcher: A Rule-based Prompt Injection Monitor
by: Wang, Yanting, et al.
Published: (2026)