IMDEA Software

Iniciativa IMDEA

Inicio > Eventos > Charlas Invitadas > 2021 > Collecting Sensitive Data with Local Differential Privacy
Esta página aún no ha sido traducida. A continuación se muestra la página en inglés.

Tianhao Wang

lunes 1 de marzo de 2021

4:00pm Zoom3 - https://zoom.us/j/3911012202 (pass: s3)

Tianhao Wang, PhD candidate, Purdue University, USA

Collecting Sensitive Data with Local Differential Privacy

Abstract:

When collecting information, local differential privacy (LDP) relieves users’ privacy concerns, as it adds noise to users’ private information. The LDP technique has been deployed by Google, Apple, Microsoft, and Alibaba for data collection. In this talk, I will share our research on the basic primitives for LDP and a system that can handle analytical queries under LDP.