Security & Privacy

Security and privacy research at MPI-SWS focuses on foundational and practical aspects of security, trust, privacy and accountability in computer systems. Recent research in the group has focused on Web browser security, privacy-preserving Web analytics and advertising systems, trustworthy storage, anonymity networks, formal analysis of security properties, privacy-preserving mobile applications, privacy and trust in online social networks and accountability in distributed systems.

News

Peter Druschel receives 2025 IEEE TCDP Outstanding Technical Achievement Award

July 2025

Peter Druschel has received the 2025 IEEE TCDP Outstanding Technical Achievement Award for his pioneering contributions to the design and implementation of large-scale distributed systems.

Francis' group releases SynDiffix, the world's most accurate synthetic data generator

December 2023

Paul Francis's Open Diffix project has released SynDiffix, an open-source Python package that generates statistically accurate, privacy preserving synthetic data from structured data.

Two faculty win prestigious Google Research Scholar awards

June 2022

Two MPI-SWS faculty, Maria Christakis and Elissa Redmiles, have earned highly competitive Google Research Scholar awards.

MPI-SWS releases the first data anonymization tool as part of the Open Diffix project.

March 2022

The Open Diffix project releases "Diffix for Desktop", the world's simplest strong data anonymization tool. open-diffix.org

MPI-SWS research on COVID19 apps covered by the Linux Public Health Foundation

September 2021

Elissa Redmiles and collaborators have investigated how to most effectively and ethically advertise COVID19 contact tracing apps.

All News

Recent projects

Recent software

Diffix tools

Various tools to help analysts get the best use of Diffix

Papers

Toast: A Heterogeneous Memory Management System.

Maurice Bailleu, Dimitrios Stavrakakis, Rodrigo Caetano Rocha, Soham Chakraborty, Deepak Garg, Pramod Bhatotia.
PACT 2024.

"Nudes? Shouldn't I charge for these?": Motivations of New Sexual Content Creators on OnlyFans.

Vaughn Hamilton, Ananta Soneji, Allison McDonald, Elissa M. Redmiles.
CHI 2023.

SynDiffix: More accurate synthetic structured data.

Paul Francis, Cristian Berneanu, Edon Gashi.
CoRR 2023.

Groundhog: Efficient Request Isolation in FaaS.

Mohamed Alzayat, Jonathan Mace, Peter Druschel, Deepak Garg.
EuroSys 2023.

From Fine- to Coarse-Grained Dynamic Information Flow Control and Back.

Marco Vassena, Alejandro Russo, Deepak Garg, Vineet Rajani, Deian Stefan.
Found. Trends Program. Lang. 2023.

All papers

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