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ORCID31. Krypto-Tag 2019: Berlin, Germany
- Marcel Selhorst, Daniel Loebenberger, Michael Nüsken:
31. Krypto-Tag, Berlin, Germany, October 17-18, 2019. Gesellschaft für Informatik e.V. / FG KRYPTO 2019 - Marcel Selhorst:
Introduction to QPSI - Who we are and what we do Hardware. - Victor van der Veen:
When Memory Serves Not So Well - Memory Errors 30 Years Later. - Marcin Aftowicz, Dan Klann, Ievgen Kabin, Zoya Dyka, Peter Langendörfer:
Evaluation of the ECDSA IHP Hardware Accelerator. - Nils Wisiol:
Towards Secure Strong PUFs. - Alejandro Sosa, Ievgen Kabin, Zoya Dyka, Dan Klann, Peter Langendörfer:
On the Impact of the Sampling Rate on the Success of Horizontal DEMA Attack. - Anders P. K. Dalskov
, Marcel Keller, Claudio Orlandi, Kris Shrishak, Haya Schulmann:
Securing DNSSEC Keys via Threshold ECDSA From Generic MPC. - Jean Paul Degabriele, Christian Janson, Patrick Struck:
Sponges Resist Leakage: The Case of Authenticated Encryption. - Roman Natarov, Yauhen Varabei, Ievgen Kabin, Zoya Dyka, Peter Langendörfer:
Edge computing devices assessment for cryptography and biomedical signal analysis. - Yauhen Varabei, Ievgen Kabin, Zoya Dyka, Dan Klann, Peter Langendörfer:
Intelligent Clustering as a Means to Improve K-means Based Horizontal Attacks. - Markus Brandt, Haya Schulmann, Michael Waidner:
Distributed Domain Validation (DDV). - Joo Cho, Stefan-Lukas Gazdag, Alexander von Gernler, Helmut Grießer, Sophia Grundner-Culemann, Tobias Guggemos, Tobias Heider, Daniel Loebenberger:
Towards Quantum-resistant Virtual Private Networks. - Shinjo Park, Altaf Shaik, Ravishankar Borgaonkar, Jean-Pierre Seifert:
Anatomy of Commercial IMSI Catchers and Detectors. - Tim Ohlendorf, Wolfgang Studier, Marian Margraf:
SLIDEDroid: A Secure Lightweight Identity for the Android Platform. - Robert Buhren:
Insecure Until Proven Updated: Analyzing AMD SEV's Remote Attestation. - Franziska Boenisch:
Applying Differential Privacy to Machine Learning: Challenges and Potentials. - Kai Lehniger, Yauhen Varabei, Marcin Aftowicz, Seyed Ehsan Hashemi Rastegar, Zoya Dyka, Peter Langendörfer:
Using machine learning techniques for hardware performance counter classification and ROP attack detection.
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