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Prompt-In-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behavior
Large Language Models LLMs are widely deployed in applications that accept user-submitted content, such as uploaded documents or pasted text, for tasks like summarization and question answering. In this paper, we identify a new class of attacks, prompt in content injection, where adversarial...
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