Google DeepMind summarizes lessons from defending Gemini against indirect prompt injection

In a report, Google DeepMind describes its method for evaluating Gemini's adversarial robustness to indirect prompt injection and summarizes lessons from the defense process. The team deploys a set of adaptive attack techniques through an adversarial evaluation framework to continuously test past, current and future versions of Gemini. These continuous evaluations are used to measure Gemini's performance against sophisticated adversaries and help improve the model's ability to resist manipulation.