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Privacy Enhancing Technologies E192-08

  • A Research Unit of The Institute of Logic and Computation

The rapid growth in data collection, fueled by digitization and the rise of connected devices, is creating exciting opportunities for innovation and greater efficiency across many domains. However, this surge in data also brings new risks, including increased vulnerability to cyberattacks and emerging privacy concerns, especially as advances in Artificial Intelligence enable the processing of vast amounts of personal data.

Research Unit Privacy Enhancing Technologies

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The rapid growth in data collection, fueled by digitization and the rise of connected devices, is creating exciting opportunities for innovation and greater efficiency across many domains. However, this surge in data also brings new risks, including increased vulnerability to cyberattacks and emerging privacy concerns, especially as advances in Artificial Intelligence enable the processing of vast amounts of personal data.

To address these challenges, our Research Unit is dedicated to reconciling technological progress with the protection of users’ privacy. We are pioneering the development of state-of-the-art cryptographic techniques and advanced privacy-enhancing tools. These tools ensure that innovation in areas such as distributed systems, cryptocurrencies, smart healthcare, and smart cities can continue to thrive without sacrificing personal privacy.

Using sophisticated methods such as secure multi-party computation, homomorphic encryption, and differential privacy, we demonstrate that it is possible to preserve privacy while driving technological progress at the same time. Our work underscores the possibility of a future where privacy and innovation are not mutually exclusive but can coexist harmoniously.

The research Unit Privacy Enhancing Technologies is part of the Institute of Logic and Computation.

Dominique Schröder
Dominique Schröder D. Schröder

Head of Research Unit
Univ.Prof. Dipl.-Inf. Dr.

Hien Thi Thu Chu
Hien Thi Thu Chu H. Chu

PreDoc Researcher
MSc

Paul Claus Gerhart
Paul Claus Gerhart P. Gerhart

PreDoc Researcher
MSc

Davide Li Calsi
Davide Li Calsi D. Li Calsi

PreDoc Researcher
Dott. mag.

Luigi Russo
Luigi Russo L. Russo

PostDoc Researcher
PhD

Federico Valbusa
Federico Valbusa F. Valbusa

PreDoc Researcher
MSc

Johannes Strasser
Johannes Strasser J. Strasser

IT Services

2026W

2027S

 

  • Sovereign Modal Signatures / Yan, Y., Tang, K. H., Chu, H. T. T., Chow, S. S. M., Ling, S., Wang, H., & Zhang, K. (2027). Sovereign Modal Signatures. In Applied Cryptography and Network Security : 24th International Conference, ACNS 2026, Stony Brook, NY, USA, June 22–25, 2026, Proceedings, Part I (pp. 444–472). Springer Cham. https://doi.org/10.1007/978-3-032-32560-0_16
  • Anamorphic Messaging: Analyzing the Double Ratchet, Triple Ratchet, PQ3, and MLS / Chu, H. T. T., Corsi, A., & Rösler, P. (2026, August 13). Anamorphic Messaging: Analyzing the Double Ratchet, Triple Ratchet, PQ3, and MLS [Conference Presentation]. 35th Usenix Security Symposium, Baltimore, MD, United States of America (the).
  • When Threshold Meets Anamorphic Signatures: What is Possible and What is Not! / Chu, H. T. T., Do, K., Hanzlik, L., & Thyagarajan, S. A. (2026). When Threshold Meets Anamorphic Signatures: What is Possible and What is Not! Proceedings on Privacy Enhancing Technologies (PoPETs), 2026(4), 156–180. https://doi.org/10.56553/popets-2026-0114
  • Anamorphic Messaging: Analyzing the Double Ratchet, Triple Ratchet, PQ3, and MLS / Chu, H. T. T., Corsi, A., & Rösler, P. (2026). Anamorphic Messaging: Analyzing the Double Ratchet, Triple Ratchet, PQ3, and MLS. In Proceedings of the 35th USENIX Security Symposium (pp. 4325–4344).
  • Measuring Conditional Anonymity - A Global Study / Berrang, P., Gerhart, P. C., & Schröder, D. (2024). Measuring Conditional Anonymity - A Global Study. Proceedings on Privacy Enhancing Technologies (PoPETs), 2024(4), 947–966. https://doi.org/10.56553/popets-2024-0150
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Soon, this page will include additional information such as reference projects, conferences, events, and other research activities.

Until then, please visit Privacy Enhancing Technologies’ research profile in TISS .