CORE A/A* ranked venues marked in bold.

2024

Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, and Avishay Yanai. ScionFL: Secure quantized aggregation for federated learning. In 2. IEEE Conference on Secure and Trustworthy Machine Learning (SaTML'24), IEEE, Toronto, Canada, April 9-11, 2024. To appear. Online: https://arxiv.org/abs/2210.07376. [ pdf | web ]

2023

Laura Hetz, Thomas Schneider, and Christian Weinert. Scaling mobile private contact discovery to billions of users. In 28. European Symposium on Research in Computer Security (ESORICS'23), volume 14344 of LNCS, pages 455–476, Springer, The Hague, The Netherlands, September 25-29, 2023. Full version: https://ia.cr/2023/758. Code: https://encrypto.de/code/disco. Acceptance rate 19.5%. CORE rank A. [ DOI | pdf | web ]

Felix Marx, Thomas Schneider, Ajith Suresh, Tobias Wehrle, Christian Weinert, and Hossein Yalame. HyFL: A Hybrid framework for private Federated Learning. arXiv:2302.09904, February 20, 2023. https://arxiv.org/abs/2302.09904. [ DOI ]

Christoph Hagen, Christian Weinert, Christoph Sendner, Alexandra Dmitrienko, and Thomas Schneider. Contact discovery in mobile messengers: Low-cost attacks, quantitative analyses, and efficient mitigations. ACM Transactions on Privacy and Security (TOPS), 26(1):1–44, February, 2023. Online: https://ia.cr/2022/875. Code: https://github.com/contact-discovery. CORE rank A. [ DOI | pdf | web ]

2021

Alexander Heinrich, Matthias Hollick, Thomas Schneider, Milan Stute, and Christian Weinert. CONTRIBUTED TALK: Breaking and fixing contact identifier-based mutual authentication in Apple AirDrop. Future of PI Workshop: Challenges and Perspectives of Personal Identification (FoPI@EuroS&P'21), September 6, 2021. [ web ]

Christian Weinert. Practical Private Set Intersection Protocols for Privacy-Preserving Applications. PhD thesis, TU Darmstadt, Germany, August 31, 2021. [ pdf ]

Alexander Heinrich, Matthias Hollick, Thomas Schneider, Milan Stute, and Christian Weinert. PrivateDrop: Practical privacy-preserving authentication for Apple AirDrop. In 30. USENIX Security Symposium (USENIX Security'21), pages 3577–3594, USENIX, Virtual Event, August 11-13, 2021. Website: https://privatedrop.github.io. Full version: https://ia.cr/2021/481. Code: https://encrypto.de/code/privatedrop. Acceptance rate 19%. CORE rank A*. [ 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 ]

Alexander Heinrich, Matthias Hollick, Thomas Schneider, Milan Stute, and Christian Weinert. DEMO: AirCollect: Efficiently recovering hashed phone numbers leaked via Apple AirDrop. In 14. ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec'21) Demo, pages 371–373, ACM, Virtual Event, June 28-July 2, 2021. Website: https://privatedrop.github.io. Online: https://ia.cr/2021/893. Code: https://encrypto.de/code/aircollect. Acceptance rate 78.6%. [ DOI | pdf | web ]

Tim Heldmann, Thomas Schneider, Oleksandr Tkachenko, Christian Weinert, and Hossein Yalame. LLVM-based circuit compilation for practical secure computation. In 19. International Conference on Applied Cryptography and Network Security (ACNS'21), volume 12727 of LNCS, pages 99–121, Springer, Virtual Event, June 21-24, 2021. Online: https://ia.cr/2021/797. Code: https://encrypto.de/code/LLVM. Acceptance rate 19.9%. CORE rank B. [ DOI | pdf | web ]

Christoph Hagen, Christian Weinert, Christoph Sendner, Alexandra Dmitrienko, and Thomas Schneider. All the numbers are US: Large-scale abuse of contact discovery in mobile messengers. In 28. Network and Distributed System Security Symposium (NDSS'21), Internet Society, Virtual Event, February 21-24, 2021. Website: https://contact-discovery.github.io. Online: https://ia.cr/2020/1119. Code: https://github.com/contact-discovery. Acceptance rate 15.2%. CORE rank A*. [ DOI | pdf | web ]

2020

Heiko Mantel, Lukas Scheidel, Thomas Schneider, Alexandra Weber, Christian Weinert, and Tim Weißmantel. RiCaSi: Rigorous Cache Side channel mitigation via selective circuit compilation. In 19. International Conference on Cryptology And Network Security (CANS'20), volume 12579 of LNCS, pages 505–525, Springer, Virtual Event, December 14-16, 2020. Acceptance rate 25.4%. CORE rank B. [ DOI | pdf | web ]

Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, and Kristian Kersting. CryptoSPN: Expanding PPML beyond neural networks (Extended Abstract). In Privacy-Preserving Machine Learning in Practice Workshop (PPMLP@CCS'20), pages 9–14, ACM, Virtual Event, November 9, 2020. Full paper. Acceptance rate 23.5% for full papers. [ DOI | pdf | web ]

Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, and Kristian Kersting. CryptoSPN: Privacy-preserving sum-product network inference. In 24. European Conference on Artificial Intelligence (ECAI'20), pages 1946–1953, IOS Press, Virtual Event, August 29-September 5, 2020. Online: https://arxiv.org/abs/2002.00801. Code: https://encrypto.de/code/CryptoSPN. Acceptance rate 26.8%. CORE rank A. [ DOI | pdf | web ]

Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, and Kristian Kersting. CONTRIBUTED TALK: CryptoSPN: Expanding PPML beyond neural networks (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 ]

Amos Treiber, Alejandro Molina, Christian Weinert, Thomas Schneider, and Kristian Kersting. CONTRIBUTED TALK: CryptoSPN: Privacy-preserving machine learning beyond neural networks (Extended Abstract). Theory and Practice of Multi-Party Computation Workshop (TPMPC'20), June 4, 2020. [ web ]

Sebastian P. Bayerl, Tommaso Frassetto, Patrick Jauernig, Korbinian Riedhammer, Ahmad-Reza Sadeghi, Thomas Schneider, Emmanuel Stapf, and Christian Weinert. Offline model guard: Secure and private ML on mobile devices. In 23. Design, Automation & Test in Europe Conference & Exhibition (DATE'20), pages 460–465, IEEE, Grenoble, France, March 9-13, 2020. Online: https://arxiv.org/abs/2007.02351. Acceptance rate 26%. CORE rank B. [ DOI | pdf | web ]

2019

Sebastian P. Bayerl, Ferdinand Brasser, Christoph Busch, Tommaso Frassetto, Patrick Jauernig, Jascha Kolberg, Andreas Nautsch, Korbinian Riedhammer, Ahmad-Reza Sadeghi, Thomas Schneider, Emmanuel Stapf, Amos Treiber, and Christian Weinert. POSTER: Privacy-preserving speech processing via STPC and TEEs (Extended Abstract). 2. Privacy Preserving Machine Learning Workshop (PPML@CCS'19), London, UK, November 15, 2019. Acceptance rate 55.0%. [ pdf | poster | web ]

Susanne Felsen, Ágnes Kiss, Thomas Schneider, and Christian Weinert. Secure and private function evaluation with Intel SGX. In 10. ACM Cloud Computing Security Workshop (CCSW'19), pages 165–181, ACM, London, UK, November 11, 2019. Acceptance rate 37.5%. [ DOI | pdf | web ]

Daniel Kales, Christian Rechberger, Thomas Schneider, Matthias Senker, and Christian Weinert. Mobile private contact discovery at scale. In 28. USENIX Security Symposium (USENIX Security'19), pages 1447–1464, USENIX, Santa Clara, CA, USA, August 14-16, 2019. Website: https://contact-discovery.github.io. Full version: https://ia.cr/2019/517. Code: https://github.com/contact-discovery. Acceptance rate 16.2%. CORE rank A*. [ pdf | web ]

2018

Ferdinand Brasser, Tommaso Frassetto, Korbinian Riedhammer, Ahmad-Reza Sadeghi, Thomas Schneider, and Christian Weinert. VoiceGuard: Secure and private speech processing. In 19. Conference of the International Speech Communication Association (INTERSPEECH'18), pages 1303–1307, International Speech Communication Association (ISCA), Hyderabad, India, September 2-6, 2018. Acceptance rate 54%. CORE rank A. [ DOI | pdf | poster | web ]

Oleksandr Tkachenko, Christian Weinert, Thomas Schneider, and Kay Hamacher. Large-scale privacy-preserving statistical computations for distributed genome-wide association studies. In 13. ACM ASIA Conference on Computer and Communications Security (ASIACCS'18), pages 221–235, ACM, Songdo, South Korea, June 4-8, 2018. Acceptance rate 16.8%. CORE rank A. [ DOI | pdf | web ]

M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, and Farinaz Koushanfar. Chameleon: A hybrid secure computation framework for machine learning applications. In 13. ACM ASIA Conference on Computer and Communications Security (ASIACCS'18), pages 707–721, ACM, Songdo, South Korea, June 4-8, 2018. Preliminary version: https://ia.cr/2017/1164. Acceptance rate 16.8%. CORE rank A. [ DOI | pdf | web ]

Benny Pinkas, Thomas Schneider, Christian Weinert, and Udi Wieder. Efficient circuit-based PSI via cuckoo hashing. In 37. Advances in Cryptology - EUROCRYPT'18, volume 10822 of LNCS, pages 125–157, Springer, Tel Aviv, Israel, April 29-May 3, 2018. Full version: https://ia.cr/2018/120. Code: https://encrypto.de/code/2DCH. Acceptance rate 23.0%. CORE rank A*. [ DOI | pdf | web ]

2017

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 ]

Christian Weinert, Denise Demirel, Martín A. Gagliotti Vigil, Matthias Geihs, and Johannes Buchmann. Mops: A modular protection scheme for long-term storage. In 12. ACM ASIA Conference on Computer and Communications Security (ASIACCS'17), pages 436–448, ACM, Abu Dhabi, United Arab Emirates, April 2-6, 2017. Acceptance rate 19.8%. CORE rank A. [ DOI | web ]

2016

Christian Weinert. Building a modular long-term archiving system. Master's thesis, TU Darmstadt, Germany, July 25, 2016.

2015

Martín A. Gagliotti Vigil, Johannes Buchmann, Daniel Cabarcas, Christian Weinert, and Alexander Wiesmaier. Integrity, authenticity, non-repudiation, and proof of existence for long-term archiving: A survey. Computers & Security, 50:16–32, January 2015. CORE rank B. [ DOI | web ]

2014

Martín A. Gagliotti Vigil, Christian Weinert, Denise Demirel, and Johannes Buchmann. An efficient time-stamping solution for long-term digital archiving. In 33. International Performance Computing and Communications Conference (IPCCC'14), pages 1–8, IEEE, Austin, TX, USA, December 5-7, 2014. Acceptance rate 31.7%. CORE rank B. [ DOI | web ]

Martín A. Gagliotti Vigil, Christian Weinert, Kjell Braden, Denise Demirel, and Johannes Buchmann. A performance analysis of long-term archiving techniques. In 16. International Conference on High Performance Computing and Communications (HPCC'14), pages 878–889, IEEE, Paris, France, August 20-22, 2014. Acceptance rate 25.0%. CORE rank B. [ DOI | web ]

2013

Christian Weinert. Content integrity system and notarisation for long-term protection of data objects. Bachelor's thesis, TU Darmstadt, Germany, October 18, 2013.