IPI-proxy is a toolkit using an intercepting proxy to inject indirect prompt injection attacks into live web pages for testing AI browsing agents against hidden instructions.
LLMail-Inject: A Dataset from a Realistic Adaptive Prompt Injection Challenge
4 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 4roles
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Evidence-carrying multimodal agents decompose tool calls into predicates, obtain certificates from DOM/OCR/AX verifiers, and use a deterministic gate to authorize actions only when certificates support them, achieving zero unsafe executions in tested tasks.
MIPIAD reports a hybrid Qwen-TF-IDF ensemble defense that reaches F1 0.9205 and reduces the English-Bangla performance gap on a 1.43-million-sample synthetic benchmark derived from BIPIA templates.
Indirect prompt injection attacks remain effective on LLMs using web search tools, allowing data exfiltration and exposing ongoing weaknesses in current model defenses.
citing papers explorer
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IPI-proxy: An Intercepting Proxy for Red-Teaming Web-Browsing AI Agents Against Indirect Prompt Injection
IPI-proxy is a toolkit using an intercepting proxy to inject indirect prompt injection attacks into live web pages for testing AI browsing agents against hidden instructions.
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Hallucination as Exploit: Evidence-Carrying Multimodal Agents
Evidence-carrying multimodal agents decompose tool calls into predicates, obtain certificates from DOM/OCR/AX verifiers, and use a deterministic gate to authorize actions only when certificates support them, achieving zero unsafe executions in tested tasks.
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MIPIAD: Multilingual Indirect Prompt Injection Attack Defense with Qwen -- TF-IDF Hybrid and Meta-Ensemble Learning
MIPIAD reports a hybrid Qwen-TF-IDF ensemble defense that reaches F1 0.9205 and reduces the English-Bangla performance gap on a 1.43-million-sample synthetic benchmark derived from BIPIA templates.
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Exploiting Web Search Tools of AI Agents for Data Exfiltration
Indirect prompt injection attacks remain effective on LLMs using web search tools, allowing data exfiltration and exposing ongoing weaknesses in current model defenses.