A trusted execution environment (TEE) is a secure and isolated environment within a computer system or a microprocessor that provides confidentiality and integrity for executing sensitive code and protecting sensitive data. It is designed to protect against various threats, such as malware and unauthorised access. This talk will take Intel SGX as an example to show the basics of TEEs, including the hardware design, side-channel attacks, and the way to use Intel SGX. In the end, we will go through a TEE-assisted privacy-preserving decision tree training and inference to show how TEEs are adopted in general.
Dr. Shujie Cui is a Lecturer at Monash University in the Faculty of Information Technology. She obtained her PhD degree from the University of Auckland in 2019. Before joining Monash University, she was a Post-Doc researcher in the Large-Scale Data & Systems (LSDS) group in the Department of Computing at Imperial College London, UK. Her main research interests include applied cryptography, information security in cloud computing and distributed systems, trusted execution environments, side-channel attacks, and privacy-preserving machine learning.