Anwar Hithnawi is an Ambizione research fellow at ETH Zurich where she leads the Privacy-Preserving Systems Lab (pps-lab.com). She works at the intersection of systems, data privacy, and applied cryptography. Anwar received her doctoral degree in computer science from ETH Zurich. Prior to joining ETH Zurich as a research fellow in 2020, she was a postdoctoral researcher at UC Berkeley. She is the recipient of an SNSF Ambizione grant, the Facebook Research Award, an SNSF Postdoctoral Fellowship, and the Google Anita Borg Memorial Scholarship.
AG 1, AG 2, AG 3, INET, AG 4, AG 5, D6, SWS, RG1, MMCI
The potential of data to transform science and society has spurred unparalleled efforts to collect it in increasingly sensitive and granular forms. This accumulation of sensitive data did not materialize without issues and has raised severe societal concerns. These concerns appear amply justified by numerous reports of data breaches and misuse. Today, we are at an inflection point: if we want to continue enjoying the benefits of data-driven services, we need to place privacy at the center of our data ecosystems.
This talk outlines my work building systems that enable applications to securely interact with users' data while preserving individuals' privacy. First, I'll talk bout how we can bring the power of secure computation to difficult settings: TimeCrypt is an encrypted time-series database design that meets the scalability and low-latency requirements associated with time-series workloads. Then, I'll discuss work on using end-to-end privacy as a strong foundation for data protection: Zeph is a new end-to-end privacy system that provides the means to extract value from encrypted streaming data safely while ensuring data confidentiality and privacy by serving only privacy-compliant views of the data. Throughout the talk, I will discuss the prevalent challenges of efficiency, functionality, and accessibility in this research area; my approach to addressing these challenges; and future directions that will help bring end-to-end privacy to an even wider range of applications.
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