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Sahar Abdelnabi from CISPA Helmholtz Center for Information Security sits down with Dave to discuss their work on "A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models." There is currently a large advance in the capabilities of Large Language Models or LLMs, as well as being integrated into many systems, including integrated development environments (IDEs) and search engines.\nThe research states, "The functionalities of current LLMs can be modulated via natural language prompts, while their exact internal functionality remains implicit and unassessable." This could lead them to be susceptible to targeted adversarial prompting, as well as making them adaptable to even unseen tasks. Researchers demonstrated these said attacks to see if the LLMs needed new techniques for more defense.\nThe research can be found here:\nMore than you've asked for: A Comprehensive Analysis of Novel Prompt Injection Threats to Application-Integrated Large Language Models\n\nLearn more about your ad choices. Visit megaphone.fm/adchoices