[CENTRA Webinar]
"Differential Privacy and its Applications on Data Release and Data Collection" was held on October 7th, 2020 from 9-10am by Global *CENTRA project via ACIS Lab, University of Florida.* globalcentra.org
[Speaker]
Dr. Chia-Mu Yu, Department of Information Management and Finance, National Chiao Tung University, Taiwan
[Abstract]
Differential privacy can be seen as a de-facto standard for data privacy. Compared to the conventional de-identification approaches such as k-anonymization, l-diversity, and t-closeness, differential privacy can not only have a provable privacy guarantee but also achieve better data utility. Differential privacy has been deployed by government agencies such as the U.S. Census Bureau and commercial companies such as Apple, Google, and Facebook. In this talk, we will overview how differential privacy helps data release and data collection without sacrificing personal privacy.
