3rd N-CRiPT Workshop 2020
The NUS Centre for Research in Privacy Technologies (N-CRiPT) is a strategic capability research centre in privacy-preserving technologies funded by the National Research Foundation of Singapore. Under the Centre’s vision of Towards a privacy-aware Smart Nation, we organize biannual workshops to bring together researchers, government agencies, and industry in Singapore.
In this workshop, we aim to engage with researchers, government agencies and industry in Singapore, and showcase N-CRiPT’s recent developments in privacy preservation technologies. The workshop will feature five selected topics by the Centre’s PIs as well as a keynote presentation by Dr. Rachel Cummings (Georgia Tech). To end off the workshop, a panel comprising researchers and industry will discuss current progress and challenges of PPTech in Singapore.
Due to Singapore being at DORSCON Orange now, we regrettably have to cancel the workshop for the well-being of the community.
Friday, 14/2/2020
| 10:30 – 11:00 | Registration |
| 11:00 – 12:00 | Keynote — Prof Rachel Cummings |
| 12:00 – 13:00 | Lunch |
| 13:00 – 13:25 | Privacy Preservation against Machines — Prof Mohan Kankanhalli |
| 13:25 – 13:50 | Neural Networks with Differential Privacy– Prof Xiao Xiaokui |
| 13:50 – 14:15 | Privacy for Transparent Machine Learning: Explaining AI Decisions without Leaking Sensitive Data — Prof Reza Shokri |
| 14:15 – 14:30 | Break |
| 14:30 – 14:55 | Privacy Issues in IoT Applications — Prof Biplab Sikdar |
| 14:55 – 15:20 | Your Tattletale Gait — Prof Terence Sim |
| 15:20 – 15:30 | Break |
| 15:30 – 16:30 | Panel Discussion (details to be confirmed) |
| 16:30 – 17:00 | Afternoon Tea |
Rachel Cummings, Assistant Professor
Industrial and Systems Engineering and (by courtesy) Computer Science, Georgia Institute of Technology
Dr. Rachel Cummings is an Assistant Professor in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. Her research interests lie primarily in data privacy, with connections to machine learning, algorithmic economics, optimization, statistics, and information theory. Her work has focused on problems such as strategic aspects of data generation, incentivizing truthful reporting of data, privacy-preserving algorithm design, impacts of privacy policy, and human decision-making.
Dr. Cummings received her Ph.D. in Computing and Mathematical Sciences from the California Institute of Technology, her M.S. in Computer Science from Northwestern University, and her B.A. in Mathematics and Economics from the University of Southern California.
She is the recipient of a Google Research Fellowship, a Simons-Berkeley Research Fellowship in Data Privacy, the ACM SIGecom Doctoral Dissertation Honorable Mention, the Amori Doctoral Prize in Computing and Mathematical Sciences, a Caltech Leadership Award, a Simons Award for Graduate Students in Theoretical Computer Science, and the Best Paper Award at the 2014 International Symposium on Distributed Computing. Dr. Cummings also serves on the ACM U.S. Public Policy Council’s Privacy Committee.
Guild Hall, Level 1 of NUSS Kent Ridge Guild House
9 Kent Ridge Drive, Singapore 119241
