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Daniel Demmler
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2020 – today
- 2024
- [c19]Joshua Stock
, Henry Heitmann
DealSecAgg: Efficient Dealer-Assisted Secure Aggregation for Federated Learning. ARES 2024: 183:1-183:11 - 2023
- [c18]Joshua Stock
Lessons Learned: Defending Against Property Inference Attacks. SECRYPT 2023: 312-323 - [c17]Morten Dahl
Noah's Ark: Efficient Threshold-FHE Using Noise Flooding. WAHC@CCS 2023: 35-46 - [i11]Morten Dahl, Daniel Demmler, Sarah El Kazdadi, Arthur Meyre, Jean-Baptiste Orfila, Dragos Rotaru, Nigel P. Smart, Samuel Tap, Michael Walter:
Noah's Ark: Efficient Threshold-FHE Using Noise Flooding. IACR Cryptol. ePrint Arch. 2023: 815 (2023) - 2022
- [j4]Daniel Demmler
Towards practical privacy-preserving protocols. it Inf. Technol. 64(1-2): 49-53 (2022) - [j3]Lennart Braun, Daniel Demmler, Thomas Schneider
MOTION - A Framework for Mixed-Protocol Multi-Party Computation. ACM Trans. Priv. Secur. 25(2): 8:1-8:35 (2022) - [c16]Johanna Ansohn McDougall
Probing for Passwords - Privacy Implications of SSIDs in Probe Requests. ACNS 2022: 376-395 - [e1]Daniel Demmler, Daniel Krupka, Hannes Federrath:
52. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2022, Informatik in den Naturwissenschaften, 26. - 30. September 2022, Hamburg. LNI P-326, Gesellschaft für Informatik, Bonn 2022, ISBN 978-3-88579-720-3 [contents] - [i10]Joshua Stock, Jens Wettlaufer, Daniel Demmler, Hannes Federrath:
Property Unlearning: A Defense Strategy Against Property Inference Attacks. CoRR abs/2205.08821 (2022) - [i9]Johanna Ansohn McDougall, Christian Burkert
Probing for Passwords - Privacy Implications of SSIDs in Probe Requests. CoRR abs/2206.03745 (2022) - 2021
- [c15]Daniel Demmler
Improved Circuit Compilation for Hybrid MPC via Compiler Intermediate Representation. SECRYPT 2021: 444-451 - [i8]Daniel Demmler, Stefan Katzenbeisser, Thomas Schneider, Tom Schuster, Christian Weinert:
Improved Circuit Compilation for Hybrid MPC via Compiler Intermediate Representation. IACR Cryptol. ePrint Arch. 2021: 521 (2021) - 2020
- [c14]Fabian Boemer, Rosario Cammarota, Daniel Demmler
MP2ML: a mixed-protocol machine learning framework for private inference. ARES 2020: 14:1-14:10 - [c13]Niklas Büscher, Daniel Demmler, Nikolaos P. Karvelas, Stefan Katzenbeisser, Juliane Krämer, Deevashwer Rathee, Thomas Schneider
Secure Two-Party Computation in a Quantum World. ACNS (1) 2020: 461-480 - [c12]Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. PPMLP@CCS 2020: 43-45 - [c11]Pia Bauspieß, Jascha Kolberg
Post-Quantum Secure Two-Party Computation for Iris Biometric Template Protection. WIFS 2020: 1-6 - [i7]Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler
Trustworthy AI Inference Systems: An Industry Research View. CoRR abs/2008.04449 (2020) - [i6]Niklas Büscher, Daniel Demmler, Nikolaos P. Karvelas, Stefan Katzenbeisser, Juliane Krämer, Deevashwer Rathee, Thomas Schneider, Patrick Struck:
Secure Two-Party Computation in a Quantum World. IACR Cryptol. ePrint Arch. 2020: 411 (2020) - [i5]Fabian Boemer, Rosario Cammarota, Daniel Demmler, Thomas Schneider, Hossein Yalame:
MP2ML: A Mixed-Protocol Machine Learning Framework for Private Inference. IACR Cryptol. ePrint Arch. 2020: 721 (2020) - [i4]Lennart Braun, Daniel Demmler, Thomas Schneider, Oleksandr Tkachenko:
MOTION - A Framework for Mixed-Protocol Multi-Party Computation. IACR Cryptol. ePrint Arch. 2020: 1137 (2020)
2010 – 2019
- 2019
- [b1]Daniel Demmler:
Towards Practical Privacy-Preserving Protocols. Darmstadt University of Technology, Germany, 2019 - 2018
- [j2]Daniel Demmler, Peter Rindal, Mike Rosulek, Ni Trieu:
PIR-PSI: Scaling Private Contact Discovery. Proc. Priv. Enhancing Technol. 2018(4): 159-178 (2018) - [c10]Niklas Büscher, Daniel Demmler, Stefan Katzenbeisser, David Kretzmer, Thomas Schneider
HyCC: Compilation of Hybrid Protocols for Practical Secure Computation. CCS 2018: 847-861 - [i3]Daniel Demmler, Peter Rindal, Mike Rosulek, Ni Trieu:
PIR-PSI: Scaling Private Contact Discovery. IACR Cryptol. ePrint Arch. 2018: 579 (2018) - 2017
- [j1]Gilad Asharov
Privacy-Preserving Interdomain Routing at Internet Scale. Proc. Priv. Enhancing Technol. 2017(3): 147 (2017) - [c9]Daniel Demmler, Marco Holz, Thomas Schneider
OnionPIR: Effective Protection of Sensitive Metadata in Online Communication Networks. ACNS 2017: 599-619 - [c8]Daniel Demmler, Kay Hamacher, Thomas Schneider
Privacy-Preserving Whole-Genome Variant Queries. CANS 2017: 71-92 - [c7]Marco Chiesa
SIXPACK: Securing Internet eXchange Points Against Curious onlooKers. CoNEXT 2017: 120-133 - [c6]Stefan Krüger, Sarah Nadi, Michael Reif, Karim Ali, Mira Mezini, Eric Bodden, Florian Göpfert, Felix Günther, Christian Weinert
CogniCrypt: supporting developers in using cryptography. ASE 2017: 931-936 - [i2]Gilad Asharov, Daniel Demmler, Michael Schapira, Thomas Schneider, Gil Segev, Scott Shenker, Michael Zohner:
Privacy-Preserving Interdomain Routing at Internet Scale. IACR Cryptol. ePrint Arch. 2017: 393 (2017) - 2016
- [c5]Marco Chiesa, Daniel Demmler, Marco Canini, Michael Schapira, Thomas Schneider:
Towards Securing Internet eXchange Points Against Curious onlooKers. ANRW 2016: 32-34 - 2015
- [c4]Daniel Demmler, Ghada Dessouky, Farinaz Koushanfar
Automated Synthesis of Optimized Circuits for Secure Computation. CCS 2015: 1504-1517 - [c3]Daniel Demmler, Thomas Schneider, Michael Zohner:
ABY - A Framework for Efficient Mixed-Protocol Secure Two-Party Computation. NDSS 2015 - 2014
- [c2]Daniel Demmler, Amir Herzberg, Thomas Schneider
RAID-PIR: Practical Multi-Server PIR. CCSW 2014: 45-56 - [c1]Daniel Demmler, Thomas Schneider, Michael Zohner:
Ad-Hoc Secure Two-Party Computation on Mobile Devices using Hardware Tokens. USENIX Security Symposium 2014: 893-908 - [i1]Daniel Demmler, Thomas Schneider, Michael Zohner:
Ad-Hoc Secure Two-Party Computation on Mobile Devices using Hardware Tokens. IACR Cryptol. ePrint Arch. 2014: 467 (2014)
Coauthor Index
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