Download Report IEEE DataPort : PromptGame Dataset: Prompt Injection Attack Benchmark and Defense Evaluation Data - 2026
JSON, CSV by Naga Sujitha Vummaneni, Usha Ratnam Jammula
Information
Format: JSON, CSV Publisher: IEEE DataPort Publication Date of the Electronic Edition: 02/15/2026
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ISBN: 10.21227/hdr1-cb12
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Description
This dataset accompanies the paper "Semantic Integrity Under Prompt Injection: A Game-Theoretic Analysis of Equilibria in Adversarial Natural Language Processing Systems" published in IEEE Transactions on Information Forensics and Security.The dataset contains: (1) A comprehensive benchmark of 50 prompt injection attack types across four categories—direct injection (15 types from TensorTrust), RAG poisoning (12 types from PoisonedRAG), separator/delimiter exploits (13 types from Li et al.), and cascading agent attacks (10 types from InjecAgent)—with 150 concrete attack instances; (2) Evaluation results from experiments across four LLM architectures (GPT-4o, Claude 3, LLaMA-3-70B, Mistral-7B) testing three defense mechanisms (Semantic Prompt Binding, Adaptive Risk Assessment, Randomized Token Embedding Shuffling); (3) Metrics including Attack Success Rate, Semantic Fidelity, defense overhead, and equilibrium satisfaction rates (SRE, ISE, CRE); (4) System prompts used for evaluation across 10 applic
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