Indirect prompt injection lets attackers bypass LLM supervisor agents by hiding malicious instructions in profile fields and contextual data. Learn how this attack works and how to defend against it.
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Abstract: Dynamic updates in XML data present significant challenges for maintaining efficient query performance, particularly in large-scale and dynamic environments. Existing labeling schemes, such ...
Abstract: In-context learning methods for multi-turn text-to-SQL tasks often suffer from instability due to error propagation, and their performance falls short of ...