2021
Causal vs Associational Machine Learning: From A Privacy Perspective
Shruti Tople
Microsoft Research Cambridge
Online
Aion: Enabling Open Systems through Strong Availability Guarantees for Enclaves
Fritz Alder
KU Leuven
Online
Privacy Compliance By Construction for Database-backed Web Applications
Malte Schwarzkopf
Brown University
Online
Quantifying Privacy Risks of Machine Learning Models
Yang Zhang
CISPA Helmholtz Center for Information Security
Online
Software-Defined Data Protection: Low Overhead Policy Compliance at the Storage Layer is Within Reach!
Zsolt István
ITU Copenhagen
Online
Building Better Datacenters - The Quest for Low Latency
Simon Peter
University of Texas at Austin
Online
Scalable Transaction Processing with High Contention
Xiangyao Yu
University of Wisconsin-Madison
Online
Minimize the Gap: How to Avoid Overhead in Database Processing through Co-Design
Jens Teubner
TU Dortmund
Online
Don’t Settle for Less, Fully Exploit Emerging Hardware with New System Software
Antonio Barbalace
University of Edinburgh
Online
OmniX - an OS architecture for omni-programmable systems
Mark Silberstein
Technion – Israel Institute of Technology
Online
Solving Global Grand Challenges with High Performance Data Analytics
David Bader
New Jersey Institute of Technology
Online
2020
SLOG: Serializable, Low-latency, Geo-replicated Transactions
Daniel J Abadi
University of Maryland
Online