CORE A/A* ranked venues marked in bold.
Lennart Braun, Daniel Demmler, Thomas Schneider, and Oleksandr Tkachenko. MOTION - A framework for mixed-protocol multi-party computation. ACM Transactions on Privacy and Security (TOPS), 25(2):8:1–8:35, March 4, 2022. Online: https://ia.cr/2020/1137. Code: https://encrypto.de/code/MOTION. CORE rank A. [ DOI | pdf | web ]
Daniel Demmler, Stefan Katzenbeisser, Thomas Schneider, Tom Schuster, and Christian Weinert. Improved circuit compilation for hybrid MPC via compiler intermediate representation. In 18. International Conference on Security and Cryptography (SECRYPT'21), pages 444–451, SciTePress, Virtual Event, July 6-8, 2021. Short paper. Full version: https://ia.cr/2021/521. Acceptance rate 35.6%. CORE rank B. [ DOI | pdf | web ]
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame. POSTER: MP2ML: A mixed-protocol machine learning framework for private inference (Extended Abstract). Privacy Preserving Machine Learning Workshop (PPML@NeurIPS'20), Virtual Event, December 11, 2020. [ 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 Workshop (PPMLP@CCS'20), pages 43–45, ACM, Virtual Event, November 9, 2020. Short paper. Acceptance rate 47.1%. [ 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, Virtual Event, October 19-22, 2020. Full version: https://ia.cr/2020/411. Code: https://encrypto.de/code/pq-mpc. Acceptance rate 21.5%. CORE rank B. [ DOI | pdf | web ]
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, August 25-28, 2020. Full version: https://ia.cr/2020/721. Code: https://github.com/IntelAI/he-transformer. Acceptance rate 21.3%. CORE rank B. [ DOI | pdf | web ]
Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, and Hossein Yalame. MP2ML: A mixed-protocol machine learning framework for private inference (Extended Abstract). 2. Privacy-Preserving Machine Learning Workshop (PPML@CRYPTO'20), August 16, 2020. [ 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. arXiv:2008.04449, August 10, 2020. https://arxiv.org/abs/2008.04449. [ DOI ]
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 A. [ DOI | web ]
Gilad Asharov, Marco Canini, Marco Chiesa, Daniel Demmler, Michael Schapira, Thomas Schneider, Gil Segev, Scott Shenker, and Michael Zohner. CONTRIBUTED TALK: Towards practical private internet routing using MPC. 5. Theory and Practice of Multi-Party Computation Workshop (TPMPC'18), May 28-31, 2018. [ web ]
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. Code: https://six-pack.bitbucket.io. 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 A. [ DOI | pdf | web ]
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 ]
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 ]
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 ]
Daniel Demmler, Thomas Schneider, and Michael Zohner. Hardware-assisted ad-hoc secure two-party computation on smartphones (Abstract). In 19. Kryptotag (crypto day matters), Gesellschaft für Informatik e.V. / FG KRYPTO, Stuttgart, Germany, November 14-15, 2013.
Daniel Demmler. Hardware-assisted two-party secure computation on mobile devices. Master's thesis, TU Darmstadt, Germany, July 1, 2013.
Daniel Demmler. Fpga-implementation of the multivariate signature scheme "Unbalanced Oil and Vinegar". Bachelor's thesis, TU Darmstadt, Germany, June, 2011.