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Exploring Metric Correlations for Legal Text Summarization Evaluation
In collaboration with Supremo Tribunal de Justiça.</p
Ultra-Compact Low-Power 1st Order Quasi-Passive Sigma-Delta Modulator for Organ-on-Chip Systems
Prompt-to-SQL Injections in LLM-Integrated Web Applications: Risks and Defenses
This research paper investigates prompt-to-SQL injection attacks in Large Language Models (LLMs) integrated with web applications, specifically focusing on the LangChain framework. The authors characterize P2SQL injections and demonstrate their effectiveness across seven state-of-the-art LLMs, revealing that LLM-integrated applications are highly susceptible to these attacks. By developing a set of extensions to LangChain, known as LangShield, the authors provide effective defenses against P2SQL injection attacks, demonstrating their efficacy with acceptable performance overhead