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Three Works accepted at CCS'24 and Affiliated Workshops
2024/08/21
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ENCRYPTO Group organized TPMPC'24 in Darmstadt
2024/06/17
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Four papers at IEEE S&P'24
2024/05/20
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.
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Paper accepted at ASIACCS'24
2024/05/03
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.
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Runner-Up Distinguished Paper Award for SaTML'24 Paper
2024/04/15
Runner-Up Distinguished Paper Award for SaTML'24 Paper
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Paper accepted at ESORICS'24
2024/04/09
Attesting Distributional Properties of Training Data for Machine Learning by Vasisht Duddu, Anudeep Das, Nora Khayata, Hossein Yalame, Thomas Schneider, and N. Asokan was accepted at the top conference 29th European Symposium on Research in Computer Security (ESORICS) 2024. This paper is a collaboration with Vasisht Duddu, Anudeep Das, and N. Asokan from the University of Waterloo. It proposes the notion of property attestation using Machine Learning, cryptographic techniques, and a mix of both to demonstrate relevant distributional properties of training data in conjunction with the trained model without revealing the data.
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Paper accepted at DAC'24
2024/04/08
HyCaMi: High-Level Synthesis for Cache Side-Channel Mitigation by Heiko Mantel, Joachim Schmidt, Thomas Schneider, Maximilian Stillger, Tim Weißmantel, and Hossein Yalame was accepted at the top conference 61. Design Automation Conference (DAC'24). The paper is a collaboration with the MAIS group within projects E3 (Secure Refinement of Cryptographic Algorithms) and E4 (Compiler for Privacy-Preserving Protocols) of the collaborative research center CROSSING. It shows how to use high-level synthesis tools for mitigation of cache side-channels.
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Chinese Authorities De-anonymize AirDrop Users
2024/01/25
Chinese Authorities De-anonymize AirDrop Users
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PC member of ACM CCS 2024
2024/01/23
Thomas Schneider is a program committee member of ACM CCS 2024
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Best Exercise at CS Department: CRYPROT SS23
2023/12/13
Best Exercise at CS Department: CRYPROT SS23