Computer Science Seminar by Yanxue Jia: Secure Data Collaboration via Cryptography
Speaker: , post-doctoral researcher, Purdue University
Title: Secure Data Collaboration via Cryptography
Abstract: Data plays a crucial role in collaboration鈥攆or accessing services, enhancing products, making decisions, and driving innovation. However, data also holds immense value, and directly sharing it with others not only transfers this value but also raises significant security and privacy concerns, especially when sensitive information is involved. To address this challenge, my research leverages secure multi-party computation (MPC) to enable people to enjoy gains from data collaboration without exposing their data.
In this talk, I will present highly efficient secure two-party computation solutions for key data collaboration scenarios involving set operations and end-to-end communication. Specifically, private set operations reveal the operation results while hiding the other items, making them valuable for many secure data collaboration scenarios. My work unifies diverse private set operations into a framework, and further designs private set union protocols with both stronger security and better performance. In addition, when accessing communication services, leaking metadata鈥攖hat is, who communicated with whom, when, and the extent of their interactions鈥攑oses significant privacy risks, while communication content is protected. To address this, I leverage two non-colluding servers to assist users in their communications while protecting their metadata. Finally, I will outline my future research directions, which include achieving secure data collaborations for compute-intensive (e.g., AI-driven) tasks and developing secure data management systems, to support data-driven digital ecosystems.
Bio: Yanxue Jia is a post-doctoral researcher in the Department of Computer Science at Purdue University. She earned her Ph.D. in Computer Science from Shanghai Jiao Tong University in 2022. She is an applied cryptographer and her current research focuses on secure (multi-party) computation, blockchains, and provable security. She is dedicated to advancing cryptography to solve security and privacy issues in existing as well as emerging real-world applications. Her work has been published at top-tier conferences, such as USENIX Security, ACM CCS, IEEE S&P, and Asiacrypt. She has also served as a Program Committee member for conferences, such as ACM CCS and FC.