Our PrivacyLens paper has been accepted to the NeurIPS 2024 Track on Datasets and Benchmarks. We introduce a novel framework to benchmark emerging unintended privacy leakage issues in LM agents, which also presents a method for operationalizing the contextual integrity framework with the help of LLMs. Check out our preprint and website to learn more.