Publikationsliste für
Alexander Hartl
als Autorin / Autor bzw. wesentlich beteiligte Person
12 Datensätze (2017 - 2021)
Zeitschriftenartikel
A. Hartl, R. Annessi, T. Zseby:
"Subliminal Channels in High-Speed Signatures";
Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA),
9
(2018),
1;
S. 30
- 53.
BibTeX
Zusätzliche Informationen
Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag)
A. Hartl, F. Iglesias Vazquez, T. Zseby:
"SDOstream: Low-Density Models for Streaming Outlier Detection";
Poster: 28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning,
Bruges, Belgium;
02.10.2020
- 04.10.2020; in: "ESANN 2020 - Proceedings",
i6doc.com,
Belgium
(2020),
ISBN: 978-2-87587-074-2;
S. 661
- 666.
BibTeX
Zusätzliche Informationen
A. Hartl, R. Annessi, T. Zseby:
"A Subliminal Channel in EdDSA: Information Leakage with High-Speed Signatures";
Vortrag: ACM CCS International Workshop on Managing Insider Security Threats,
Dallas, Texas, USA;
30.10.2017
- 03.11.2017; in: "Proceedings of the 2017 International Workshop on Managing Insider Security Threats",
ACM,
New York, NY, USA
(2017),
ISBN: 978-1-4503-5177-5;
S. 67
- 78.
BibTeX
M. Bachl, A. Hartl, J. Fabini, T. Zseby:
"Walling up Backdoors in Intrusion Detection Systems";
Vortrag: Big-DAMA '19,
Orlando, FL, USA;
09.12.2019; in: "Proceedings of the 3rd ACM CoNEXT Workshop on Big DAta, Machine Learning and Artificial Intelligence for Data Communication Networks",
ACM,
(2019),
ISBN: 978-1-4503-6999-2;
S. 8
- 13.
BibTeX
Zusätzliche Informationen
F. Iglesias Vazquez, D. Ojdanic, A. Hartl, T. Zseby:
"MDCStream: Stream Data Generator for Testing Analysis Algorithms";
Vortrag: EAI Valuetools 2020,
Tsukuba, Japan;
18.05.2020
- 20.05.2020; in: "Proceedings of the 13th EAI International Conference on Performance Evaluation Methodologies and Tools",
Association for Computing Machinery,
Tsukuba, Japan
(2020),
ISBN: 9781450376464;
S. 56
- 63.
BibTeX
Zusätzliche Informationen
F. Iglesias Vazquez, A. Hartl, T. Zseby, A. Zimek:
"Are Network Attacks Outliers? A Study of Space Representations and Unsupervised Algorithms";
Vortrag: MLCS Workshop on Machine Learning for CyberSecurity, ECMLPKDD,
Würzburg, Germany;
16.09.2019
- 20.09.2019; in: "ECML PKDD 2019: Machine Learning and Knowledge Discovery in Databases",
Communications in Computer and Information Science,
1168
(2020),
ISBN: 978-3-030-43887-6;
S. 159
- 175.
BibTeX
Zusätzliche Informationen
J. Fabini, A. Hartl, F. Meghdouri, C. Breitenfellner, T. Zseby:
"SecTULab: A Moodle-Integrated Secure Remote Access Architecture for Cyber Security Laboratories";
Vortrag: The 16th International Conference on Availability, Reliability and Security (ARES 2021),
Vienna, Austria;
17.08.2021
- 20.08.2021; in: "ARES 2021: The 16th International Conference on Availability, Reliability and Security",
Association for Computing Machinery,
New York, United States
(2021),
ISBN: 978-1-4503-9051-4;
Paper-Nr. 148,
11 S.
BibTeX
Zusätzliche Informationen
A. Hartl, J. Fabini, Ch Roschger, P. Eder-Neuhauser, M. Petrovic, R. Tobler, T. Zseby:
"Subverting Counter Mode Encryption for Hidden Communication in High-Security Infrastructures";
Vortrag: The 16th International Conference on Availability, Reliability and Security (ARES 2021),
Wien;
17.08.2021
- 20.08.2021; in: "ARES 2021: The 16th International Conference on Availability, Reliability and Security",
Association for Computing Machinery,
New York, NY, USA
(2021),
ISBN: 978-1-4503-9051-4;
Paper-Nr. 301,
11 S.
BibTeX
Zusätzliche Informationen
A. Hartl, T. Zseby, J. Fabini:
"BeaconBlocks: Augmenting Proof-of-Stake with On-Chain Time Synchronization";
Vortrag: The 2nd IEEE International Conference on Blockchain (Blockchain-2019),
Atlanta, USA;
14.07.2019
- 17.07.2019; in: "Proceedings of the 2019 IEEE International Conference on Blockchain",
IEEE,
(2019),
ISBN: 978-1-7281-4693-5;
S. 353
- 360.
BibTeX
Zusätzliche Informationen
A. Hartl, M. Bachl, J. Fabini, T. Zseby:
"Explainability and Adversarial Robustness for RNNs";
Vortrag: The Sixth IEEE International Conference on Big Data Computing Service and Machine Learning Applications,
Oxford, United Kingdom;
03.08.2020
- 06.08.2020; in: "The Sixth IEEE International Conference on Big Data Computing Service and Machine Learning Applications",
IEEE,
(2020),
ISBN: 978-1-7281-7022-0;
S. 148
- 156.
BibTeX
Zusätzliche Informationen
Vorträge und Posterpräsentationen (ohne Tagungsband-Eintrag)
M. Bachl, A. Hartl, J. Fabini, T. Zseby:
"Walling up Backdoors in Intrusion Detection Systems";
Vortrag: 1st ITG Workshop on IT Security (ITSec),
Tübingen, Deutschland;
02.04.2020
- 03.04.2020.
BibTeX
Diplom- und Master-Arbeiten (eigene und betreute)
J. De Bettignies:
"LSTM Autoencoders for Botnet Detection";
Betreuer/in(nen): T. Zseby, A. Hartl;
E389,
2021;
Abschlussprüfung: 15.12.2021.
BibTeX
