Team

Daniel Demmler

Dr.-Ing. Daniel Demmler

Former Doctoral and Postdoctoral Researcher

Contact

This website is no longer updated. Please see my new website for more information.

I was a doctoral researcher (2013/10 – 2018/11) and postdoctoral researcher (2018/11 – 2019/10) at the Cryptography and Privacy Engineering Group (ENCRYPTO) at the Department of Computer Science of Technische Universität Darmstadt, Germany. In November 2018, I graduated Towards Practical Privacy-Preserving Protocols.

In November 2019, I started as a postdoctoral researcher at Unversität Hamburg.

My research focuses on the design, implementation and evaluation of secure multi-party computation and private information retrieval protocols, as well as privacy-preserving applications and their practical realization.

In case you want to contact me securely, send me an encrypted e-mail using my PGP public key. Its fingerprint: 91DC D028 AA37 E1F9 4D06 1BD3 8740 013C 6881 7144.

Publications

CORE A/A* ranked venues marked in bold.

2020

Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame. MP2ML: A mixed-protocol machine learning framework for private inference, Virtual Workshop, December 11, 2020. Poster presentation. [ web ]

Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame. MP2ML: A mixed-protocol machine learning framework for private inference (Extended Abstract). In Privacy-Preserving Machine Learning in Practice (PPMLP@CCS'20) – CCS'20 Workshop, pages 43–45, ACM, Orlando, USA, November 9, 2020. Short paper. [ DOI | pdf | web ]

Niklas Büscher, Daniel Demmler, Nikolaos P. Karvelas, Stefan Katzenbeisser, Juliane Krämer, Deevashwer Rathee, Thomas Schneider, and Patrick Struck. Secure two-party computation in a quantum world. In 18. International Conference on Applied Cryptography and Network Security (ACNS'20), volume 12146 of LNCS, pages 461–480, Springer, Rome, Italy, October 19-22, 2020. Full version: https://ia.cr/2020/411. Acceptance rate 21.5%. CORE rank B. [ DOI | pdf | web ]

Lennart Braun, Daniel Demmler, Thomas Schneider, and Oleksandr Tkachenko. MOTION - a framework for mixed-protocol multi-party computation. Cryptology ePrint Archive, Report 2020/1137, September 18, 2020. https://ia.cr/2020/1137. Code: https://encrypto.de/code/MOTION.

Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame. MP2ML: A mixed-protocol machine learning framework for private inference. In 15. International Conference on Availability, Reliability and Security (ARES'20), pages 14:1–14:10, ACM, Virtual Event, Ireland, August 25-28, 2020. Full version: https://ia.cr/2020/721. Code: https://ngra.ph/he. Acceptance rate 21.3%. CORE rank B. [ DOI | pdf | web ]

Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajan Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, and Pamela Norton. Trustworthy AI inference systems: An industry research view, August 10, 2020. https://arxiv.org/abs/2008.04449. [ arXiv ]

2018

Daniel Demmler. Towards Practical Privacy-Preserving Protocols. PhD thesis, TU Darmstadt, Germany, November 22, 2018. [ pdf ]

Niklas Büscher, Daniel Demmler, Stefan Katzenbeisser, David Kretzmer, and Thomas Schneider. HyCC: Compilation of hybrid protocols for practical secure computation. In 25. ACM Conference on Computer and Communications Security (CCS'18), pages 847–861, ACM, Toronto, Canada, October 15-19, 2018. Code: https://gitlab.com/securityengineering/HyCC. Acceptance rate 16.6%. CORE rank A*. [ DOI | pdf | web ]

Daniel Demmler, Peter Rindal, Mike Rosulek, and Ni Trieu. PIR-PSI: Scaling private contact discovery. Proceedings on Privacy Enhancing Technologies (PoPETs), 2018(4):159–178, July 2018. CORE rank B. [ DOI | web ]

2017

Marco Chiesa, Daniel Demmler, Marco Canini, Michael Schapira, and Thomas Schneider. SIXPACK: Securing Internet eXchange Points Against Curious onlooKers. In 13. International Conference on emerging Networking EXperiments and Technologies (CoNEXT'17), pages 120–133, ACM, Seoul, South Korea, December 12-15, 2017. Acceptance rate 18.1%. CORE rank A. [ DOI | pdf | web ]

Daniel Demmler, Kay Hamacher, Thomas Schneider, and Sebastian Stammler. Privacy-preserving whole-genome variant queries. In 16. International Conference on Cryptology And Network Security (CANS'17), volume 11261 of LNCS, pages 1–22, Springer, Hong Kong, China, November 30-December 2, 2017. Acceptance rate 31.8%. CORE rank B. [ DOI | pdf | web ]

Stefan Krüger, Sarah Nadi, Michael Reif, Karim Ali, Mira Mezini, Eric Bodden, Florian Göpfert, Felix Günther, Christian Weinert, Daniel Demmler, and Ram Kamath. Cognicrypt: Supporting developers in using cryptography. In 32. IEEE/ACM International Conference on Automated Software Engineering (ASE'17), pages 931–936, IEEE, Urbana, IL, USA, October 30 - November 3, 2017. Acceptance rate 62.5%. CORE rank A. [ DOI | web ]

Daniel Demmler, Marco Holz, and Thomas Schneider. OnionPIR: Effective protection of sensitive metadata in online communication networks. In 15. International Conference on Applied Cryptography and Network Security (ACNS'17), volume 10355 of LNCS, pages 599–619, Springer, Kanazawa, Japan, July 10-12, 2017. Code: https://encrypto.de/code/onionPIR. Acceptance rate 22.8%. CORE rank B. [ DOI | pdf | web ]

Gilad Asharov, Daniel Demmler, Michael Schapira, Thomas Schneider, Gil Segev, Scott Shenker, and Michael Zohner. Privacy-preserving interdomain routing at Internet scale. Proceedings on Privacy Enhancing Technologies (PoPETs), 2017(3):143–163, July 2017. Full version: https://ia.cr/2017/393. Acceptance rate 18.6%. CORE rank B. [ DOI | pdf | web ]

2016

Marco Chiesa, Daniel Demmler, Marco Canini, Michael Schapira, and Thomas Schneider. Towards Securing Internet eXchange Points Against Curious onlooKers. In ACM, IRTF & ISOC Applied Networking Research Workshop (ANRW'16), pages 32–34, ACM, Berlin, Germany, July 16, 2016. Short paper. [ DOI | pdf | web ]

2015

Daniel Demmler, Ghada Dessouky, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider, and Shaza Zeitouni. Automated synthesis of optimized circuits for secure computation. In 22. ACM Conference on Computer and Communications Security (CCS'15), pages 1504–1517, ACM, Denver, CO, USA, October 12-16, 2015. Acceptance rate 19.8%. CORE rank A*. [ DOI | pdf | web ]

Daniel Demmler, Thomas Schneider, and Michael Zohner. ABY – a framework for efficient mixed-protocol secure two-party computation. In 22. Network and Distributed System Security Symposium (NDSS'15), Internet Society, San Diego, CA, USA, February 8-11, 2015. Code: https://encrypto.de/code/ABY. Acceptance rate 18.4%. CORE rank A*. [ pdf | web ]

2014

Daniel Demmler, Amir Herzberg, and Thomas Schneider. RAID-PIR: Practical multi-server PIR. In 6. ACM Cloud Computing Security Workshop (CCSW'14), pages 45–56, ACM, Scottsdale, AZ, USA, November 7, 2014. Code: https://encrypto.de/code/RAID-PIR. Acceptance rate 33.3%. [ DOI | pdf | web ]

Daniel Demmler, Thomas Schneider, and Michael Zohner. Ad-hoc secure two-party computation on mobile devices using hardware tokens. In 23. USENIX Security Symposium (USENIX Security'14), pages 893–908, USENIX, San Diego, CA, USA, August 20-22, 2014. Full version: https://ia.cr/2014/467. Acceptance rate 19.1%. CORE rank A*. [ pdf | web ]

2013

Daniel Demmler, Thomas Schneider, and Michael Zohner. Hardware-assisted ad-hoc secure two-party computation on smartphones. In 19. Workshop der Fachgruppe Kryptographie in der Gesellschaft für Informatik (Kryptotag), Stuttgart, Germany, November 14-15, 2013. [ pdf ]

Daniel Demmler. Hardware-assisted two-party secure computation on mobile devices. Master's thesis, TU Darmstadt, Germany, July 1, 2013.

2011

Daniel Demmler. Fpga-implementation of the multivariate signature scheme "Unbalanced Oil and Vinegar". Bachelor's thesis, TU Darmstadt, Germany, June, 2011.