Advances in big data and artificial intelligence have demonstrated the range of revolutionary changes and potential societal benefits enabled by data analysis. However, the increased collection and analysis of sensitive information about individuals raises new and concerning privacy issues. As demonstrated by the increasing prevalence of insider attacks and data breaches, current approaches for data security and privacy cannot guarantee privacy for individuals while providing general-purpose access for the analyst.
Our work is focused on approaches for achieving formal privacy guarantees in real-world deployments. To this end, we make both theoretical and systems contributions in both privacy-preserving data analytics and privacy-preserving machine learning. Our work is designed to address the challenges of practical use, and our work is already being adopted to provide differential privacy protections for analysts at industrial partners like Uber.
Nicholas Carlini, Chang Liu, Ulfar Erlingsson, Jernej Kos, Dawn Song.
The 28th USENIX Security Symposium (Usenix 2019).
Ruoxi Jia*, David Dao*, Boxin Wang, Frances Ann Hubis, Nick Hynes, Nezihe Merve Gurel, Bo Li, Ce Zhang, Dawn Song, Costas Spanos.
The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019).
Ruoxi Jia, David Dao, Boxin Wang, Frances Ann Hubis, Nezihe Merve Gurel, Bo Li, Ce Zhang, Costas Spanos, Dawn Song.
The Forty-fifth International Conference on Very Large Data Bases (VLDB 2019).
Lun Wang, Joseph P. Near, Neel Somani, Peng Gao, Andrew Low, David Dao, Dawn Song.
VLDB 2019 Workshop: Poly'19.
Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song.
SPLASH 2019 OOPSLA (Distinguished Paper Award).
Nick Hynes, David Dao, David Yan, Raymond Cheng, Dawn Song.
VLDB demo 2018.
Nick Hynes, Raymond Cheng, Dawn Song.
Nicholas Carlini, Chang Liu, Jernej Kos, Úlfar Erlingsson, Dawn Song.
Om Thakkar, Lun Wang, Joseph P. Near, Roger Iyengar, Dawn Song, Abhradeep Thakurta.
IEEE S&P 2019 (Oakland).
Noah Johnson, Joseph Near, Joseph Hellerstein, Dawn Song.
Noah Johnson, Joseph Near, Dawn Song.
International Conference on Very Large Databases (VLDB), 2018.