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Publications

Papers

2022

  1. Marc Rivinius, Pascal Reisert, Daniel Rausch, and Ralf Küsters: Publicly Accountable Robust Multi-Party Computation. In 2022 IEEE Symposium on Security and Privacy, SP 2022, San Francisco, CA, US, May 22-26, pp. 2430-2449.
    Conference Version   Technical Report   Slides   Recording

  2. Pascal Reisert, Marc Rivinius, Toomas Krips, and Ralf Kuesters: Arithmetic Tuples for MPC. In Cryptology ePrint Archive, Paper 2022/667.
    Technical Report

  3. David Mestel, Johannes Müller, and Pascal Reisert: How Efficient are Replay Attacks against Vote Privacy? A Formal Quantitative Analysis. In 35th IEEE Computer Security Foundations Symposium, CSF 2022, Haifa, Israel, August 7-10, pp. 179-194.
    Conference Version   Technical Report

  4. Natasha Fernandes, Annabelle McIver, Catuscia Palamidessi, and Ming Ding: Universal Optimality and Robust Utility Bounds for Metric Differential Privacy. In 35th IEEE Computer Security Foundations Symposium, CSF 2022, Haifa, Israel, August 7-10, pp. 348-363.
    Conference Version   Technical Report

  5. Nicolas Huber, Ralf Küsters, Toomas Krips, Julian Liedtke, Johannes Müller, Daniel Rausch, Pascal Reisert, and Andreas Vogt: Kryvos: Publicly Tally-Hiding Verifiable E-Voting. In Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, CCS 2022, Los Angeles, CA, USA, November 7-11, pp. 1443-1457.
    Conference Version   Technical Report

  6. Filippo Galli, Sayan Biswas, Gangsoo Zeong, Tommaso Cucinotta, and Catuscia Palamidessi: Group privacy for personalized federated learning. International Workshop on Federated Learning: Recent Advances and New Challenges, in Conjunction with NeurIPS 2022, FL-NeurIPS'22, New Orleans, LA, USA, December 2.
    Workshop Version   Technical Report

  7. Mayar Elfares, Zhiming Hu, Pascal Reisert, Andreas Bulling, and Ralf Küsters: Federated Learning for Appearance-based Gaze Estimation in the Wild. In Proceedings of the 1st NeurIPS Gaze Meets ML Workshop / Proceedings of Machine Learning Research (Volume 210), GMML/PMLR 2022, New Orleans, LA, USA, December 3, pp. 20-36.
    Workshop Version   Technical Report

2023

  1. Divi De Lacour, Marc Lacoste, Mario Südholt, and Jacques Traoré: Towards Scalable Resilient Federated Learning: A Fully Decentralised Approach. Workshop on Pervasive and Resource-constrained AI, PeRConAI 2023, Atlanta, Georgia, USA, March 13-17, pp. 621-627
    Workshop Version   Poster (at DATAIA Workshop FL-Day)

  2. Konstantinos Chatzikokolakis, Giovanni Cherubin, Catuscia Palamidessi, and Carmela Troncoso: Bayes Security: A Not So Average Metric. In 36th IEEE Computer Security Foundations Symposium, CSF 2023, Dubrovnik, Croatia, July 9-13, pp. 159-177.
    Technical Report

  3. Pascal Reisert, Marc Rivinius, Toomas Krips, and Ralf Küsters: Overdrive LowGear 2.0: Reduced-Bandwidth MPC without Sacrifice. In Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, ASIACCS 2023, Melbourne, Australia, July 10-14, pp. 372-386.
    Conference Version   Technical Report

  4. Marc Rivinius, Pascal Reisert, Sebastian Hasler, and Ralf Küsters: Convolutions in Overdrive: Maliciously Secure Convolutions for MPC. In Proceedings on Privacy Enhancing Technologies 2023(3) / 23rd Privacy Enhancing Technologies Symposium, PoPETs/PETS 2023, Lausanne, Switzerland and Online, July 10-15, pp. 321-353.
    Conference Version   Technical Report   Slides   Code

  5. Jordan Frery, Andrei Stoian, Roman Bredehoft, Luis Montero, Celia Kherfallah, Benoit Chevallier-Mames, and Arthur Meyre, Arthur: Privacy-Preserving Tree-Based Inference with TFHE. In Mobile, Secure, and Programmable Networking: 9th International Conference, MSPN 2023, Paris, France, October 26–27, pp. 139-156.
    Conference Version

2024

  1. Sebastian Hasler, Pascal Reisert, Marc Rivinius and Ralf Küsters: Multipars: Reduced-Communication MPC over Z2k. In Proceedings on Privacy Enhancing Technologies, Bristol, United Kingdom, July 15-20, 2024 (to appear).
    Technical Report

  2. Mayar Elfares, Pascal Reisert, Zhiming Hu, Wenwu Tang, Ralf Küsters, and Andreas Bulling: PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation. In ACM Symposium on Eye Tracking Research & Applications (ETRA), Glasgow, United Kingdom, June 4-7, 2024 (to appear).
    Technical Report

Talks

2022

  1. Bastien Vialla: CRYPTECS. Video Presentation at the Workshop interdisciplinaire sur la sécurité globale, WISG 2022, Online, January 26-26.
    Video

  2. Catuscia Palamidessi: Differential Privacy: From the Central Model to the Local Model and their Generalization. Invited talk at the Collège de France, Sécurité du logiciel: quel rôle pour les langages de programmation? 2022, Paris, France, March 24.
    Slides   Recording

  3. Sven Trieflinger: Carbyne Stack – Open-source cloud-native Secure Multiparty Computation. Invited talk at Workshop on Theory and Practice of Multi-Party Computation, TPMPC 2022, Aarhus, Denmark, June 7-10.
    Abstract   Slides (access restricted)   Recording

  4. Sven Trieflinger: Carbyne Stack - Cloud Native Computing on Encrypted Data. Contributed talk at Emerging OS Forum, Open Source Summit North America 2022, OSS-NA 2022, Austin, Texas, USA, June 21-24.
    Abstract   Slides

  5. Sven Trieflinger: Scaling the Grail - Cloud-Native Computing on Encrypted Data using Carbyne Stack. Invited talk at StackConf '22, Berlin, Germany, July 19-22.
    Abstract   Recording

  6. Catuscia Palamidessi: Information Structures for Privacy and Fairness. Keynote at the Federated Logic Conference, FLoC 2022, Haifa, Israel, July 31-August 12.
    Recording

  7. Sven Trieflinger: One year of Carbyne Stack - Retrospective and Outlook. Contributed talk at CarbyneStackCon 2022, Stuttgart, Germany, October 27.
    Abstract   Recording

  8. Vincent Rieder: Cost-effective MPC from an offline phase with low communication. Contributed talk at CarbyneStackCon 2022, Stuttgart, Germany, October 27.
    Abstract   Recording

  9. Pascal Reisert: Generalized Tuples for MP-SPDZ. Contributed talk at CarbyneStackCon 2022, Stuttgart, Germany, October 27.
    Abstract   Recording

2023

  1. Felix Schuster: Introduction to confidential computing. Keynote at the Open Confidential Computing Conference 2023, OC3 2023, Online, March 15.
    Recording

  2. Malte Poll and Moritz Eckert: Wrapping entire Kubernetes clusters into a confidential-computing envelope with Constellation. Contributed talk at the Open Confidential Computing Conference 2023, OC3 2023, Online, March 15.
    Recording   Slides

  3. Sven Trieflinger: Nettle - Privacy-Preserving FL based on Flower and Carbyne Stack. Contributed talk at Flower Summit 2023, Cambridge, United Kingdom, May 30-31.
    Recording

  4. Sven Trieflinger: PETs of the world unite! Conquer the middle ground in the performance vs security spectrum. Contributed talk at Open Source Summit Europe 2023, Confidential Computing Mini Summit, Bilbao, Spain, September 19-21.
    Website   Recording

  5. Moritz Eckert: Kubernetes Meets Confidential Computing - The Different Ways of Scaling Sensitive Workloads. Contributed talk at Open Source Summit Europe 2023, Bilbao, Spain, September 19-21.
    Slides   Recording

  6. Bastien Vialla: FHE & AI: a Concrete Use-Case. Contributed talk at Séminaire Algorithmique, GREYC Laboratoire de recherche en sciences du numérique, Caen, France, November 7.

  7. Sven Trieflinger: Towards an Ecosystem for Open Cloud-Native Secure Multiparty Computation, Contributed talk at CarbyneStackCon 2023, Renningen, Germany, November 30.
    Recording

  8. Otto Bittner: Stacking Stacks: A Case Study on running Carbyne Stack on Constellation, Contributed talk at CarbyneStackCon 2023, Renningen, Germany, November 30.
    Recording

  9. Sven Trieflinger: Carbyne Stack – Towards cloud-native enterprise-grade open MPC, Contributed talk at Cloud Native Community Ruhr December Meetup, Bochum, Germany, December 5. Recording

  10. Moritz Eckert: Confidential Cloud Native AI & ML - Unlocking new opportunities, Contributed talk at Cloud Native Community Ruhr December Meetup, Bochum, Germany, December 5.
    Recording

Software

2021

  1. Robert Bosch GmbH: Carbyne Stack - Cloud Native Secure Multiparty Computation Platform.
    Website   GitHub Organization

2023

  1. Orange S.A.: Cryptecs/GPSGhoster. Demonstrator of an Android App with Differential Privacy for Geolocalization.
    Code

  2. Edgeless Systems GmbH: Constellation - Always Encrypted Kubernetes.
    Code

  3. Robert Bosch GmbH: Nettle - Flower-based Privacy-Preserving Federated Learning with secure aggregation using Carbyne Stack.
    Code

Miscellaneous

2021

  1. Sebastian Becker and Sven Trieflinger: Open Source Cloud Native Secure Multiparty Computation. Virtual Booth at MPC Alliance Data Privacy & Security Conference, Virtual, October 26, 2021.
    Website   Tutorial (requires registration)

2022

  1. Jan Paul Reimann: Secure Multiparty Computation – die Technologie der Zukunft. Newspaper Report in Tagespiegel Background, November 28, 2022.
    Article (German)
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