ACM Conference on Computer and Communications Security

CCS 2017 - Session 5E

Sessions · Papers

Privacy-Preserving Analytics

Wednesday, 11:00am-12:30pm

Session chair: Yinqian Zhang

Practical Secure Aggregation for Privacy-Preserving Machine Learning
Keith Bonawitz (Google), Vladimir Ivanov (Google), Ben Kreuter (Google), Antonio Marcedone (Cornell University), H. Brendan McMahan (Google), Sarvar Patel (Google), Daniel Ramage (Google), Aaron Segal (Google), Karn Seth (Google)
[PDF]
[Paper]
Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs
Anupam Datta (Carnegie Mellon University), Matthew Fredrikson (Carnegie Mellon University), Gihyuk Ko (Carnegie Mellon University), Piotr Mardziel (Carnegie Mellon University), Shayak Sen (Carnegie Mellon University)
[PDF]
[Paper]
[Artifact]
SGX-BigMatrix: A Practical Encrypted Data Analytic Framework With Trusted Processors
Fahad Shaon (University of Texas at Dallas), Murat Kantarcioglu (University of Texas at Dallas), Zhiqiang Lin (University of Texas at Dallas), Latifur Khan (University of Texas at Dallas)
[PDF]