Learn about prompt injection attacks and defenses in this conference presentation from USENIX Security '24, where researchers from Penn State and Duke University present a comprehensive framework for understanding and evaluating these security threats. Explore how malicious instructions can be injected into LLM-Integrated Applications to manipulate outputs, and examine the systematic evaluation of 5 different attack methods and 10 defense strategies across 10 Large Language Models and 7 distinct tasks. Discover a new hybrid attack method that combines existing approaches, and gain access to an open-source platform for conducting further research in this emerging security field. The presentation addresses current limitations in prompt injection research by providing a formal framework and establishing a common benchmark for quantitative evaluation of future attacks and defenses.