Our WPES’24 paper “Encrypted MultiChannel Communication (EMC2): Johnny should use secret sharing” by Gowri R. Chandran, Kilian Demuth, Kasra EdalatNejad, Sebastian Linsner, Christian Reuter, and Thomas Schneider is featured in the news!

Our study “Multi-Party Computation als Instrument zur Umsetzung datenschutzkonformer behördlicher Datenabgleiche: Eine interdisziplinäre Analyse am Beispiel der Diskussionen um das Gesetz zur Selbstbestimmung über den Geschlechtseintrag” by Linda Seyda, Andreas Brüggemann, Gerrit Hornung, Thomas Schneider, published at Recht und Technik: Datenschutz im Diskurs (RuT'24), is featured in the news!

On Tuesday, September 10, 2024 Hossein Yalame successfully defended his dissertation “Advancing MPC: From Real-Works Applications to LUT-Based Protocols”

The following four papers by members of ENCRYPTO group will be presented at the top conference 45. IEEE Symposium on Security and Privacy 2024 (IEEE S&P'24): Andreas Brüggemann, Oliver Schick, Thomas Schneider, Ajith Suresh, Hossein Yalame. Don't Eject the Impostor: Fast Three-party Computation with a Known Cheater. In IEEE S&P'24. Qi Pang, Jinhao Zhu, Helen Möllering, Wenting Zheng, Thomas Schneider. BOLT: Privacy-preserving, Accurate and Efficient Inference for Transformers. In IEEE S&P'24. Kasra Edalatnejad, Wouter Lueks, Justinas Sukaitis, Vincent Graf Narbel, Massimo Marelli, Carmela Troncoso. Janus: Safe Biometric Deduplication for Humanitarian Aid Distribution. Banashri Karmakar, Nishat Koti, Arpita Patra, Sikhar Patranabis, Protik Paul, Divya Ravi. Asterisk: Super-fast MPC with a Friend.

Menhir: An Oblivious Database with Protection against Access and Volume Pattern Leakage by Leonie Reichert, Gowri R Chandran, Phillipp Schoppmann, Thomas Schneider and Björn Scheuermann was accepted at the top conference 19th ACM ASIA Conference on Computer and Communications Security (ASIACCS'24). This project is a collaboration with Leonie Reichert and Björn Scheuermann from the KOM group at TU Darmstadtand Phillipp Schoppmann from Google. It uses differential privacy techniques to prevent access and volume pattern leakage in databases.