The recent shift in regulatory demands, which are aimed at fostering an understanding of the systemic risks, is pushing large online platforms and search engines towards greater transparency. Some regulations require these companies to grant privileged data access to vetted researchers. However, this could potentially lead to unintentional misuse or leaks of user privacy. It is very hard, yet important, to design a platform that strives to balance transparency with robust protections to mitigate these privacy risks. This session will discuss a solution that leverages trusted execution environments (TEEs) in the cloud to balance between transparency and user privacy. We demonstrate how TEEs can provide data confidentiality and execution integrity to both data owners and data scientists. We will also discuss future opportunities and other use cases of the solution.