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ORCIDChristian A. Hammerschmidt
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- affiliation: University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust
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2020 – today
- 2022
[i7]Sicco Verwer, Christian A. Hammerschmidt:
FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata. CoRR abs/2203.16331 (2022)- 2020
- [c14]Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek
, Abdullah Al-Dujaili, Una-May O'Reilly:
The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. AISec@CCS 2020: 61-70 - [c13]Ramiro Daniel Camino, Radu State, Christian A. Hammerschmidt:
Oversampling Tabular Data with Deep Generative Models: Is it worth the effort? ICBINB@NeurIPS 2020: 148-157 - [c12]Ekaterina Khramtsova, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State:
Federated Learning For Cyber Security: SOC Collaboration For Malicious URL Detection. ICDCS 2020: 1316-1321 - [i6]Ramiro Camino, Christian A. Hammerschmidt, Radu State:
Minority Class Oversampling for Tabular Data with Deep Generative Models. CoRR abs/2005.03773 (2020)
2010 – 2019
- 2019
- [c11]Manxing Du, Christian A. Hammerschmidt, Georgios Varisteas, Radu State, Mats Brorsson, Zhu Zhang:
time series modelling of market price in real-time bidding. ESANN 2019 - [c10]Georgios Kaiafas, Christian A. Hammerschmidt, Radu State, Cu D. Nguyen, Thorsten Ries, Mohamed Ourdane:
An Experimental Analysis of Fraud Detection Methods in Enterprise Telecommunication Data using Unsupervised Outlier Ensembles. IM 2019: 37-42 - [c9]Georgios Kaiafas, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State:
Auto Semi-supervised Outlier Detection for Malicious Authentication Events. PKDD/ECML Workshops (2) 2019: 176-190 - [i5]Ramiro Daniel Camino, Christian A. Hammerschmidt, Radu State:
Improving Missing Data Imputation with Deep Generative Models. CoRR abs/1902.10666 (2019) - [i4]Azqa Nadeem, Christian A. Hammerschmidt, Carlos Hernandez Gañán, Sicco Verwer:
MalPaCA: Malware Packet Sequence Clustering and Analysis. CoRR abs/1904.01371 (2019) - 2018
- [i3]Ramiro Camino, Christian A. Hammerschmidt, Radu State:
Generating Multi-Categorical Samples with Generative Adversarial Networks. CoRR abs/1807.01202 (2018) - 2017
- [b1]Christian A. Hammerschmidt:
Learning Finite Automata via Flexible State-Merging and Applications in Networking. University of Luxembourg, 2017 - [c8]Sofiane Lagraa, Jérôme François, Abdelkader Lahmadi, Marine Miner, Christian A. Hammerschmidt, Radu State:
BotGM: Unsupervised graph mining to detect botnets in traffic flows. CSNet 2017: 1-8 - [c7]Sicco Verwer, Christian A. Hammerschmidt:
flexfringe: A Passive Automaton Learning Package. ICSME 2017: 638-642 - [c6]Gaetano Pellegrino, Qin Lin, Christian A. Hammerschmidt, Sicco Verwer:
Learning behavioral fingerprints from Netflows using Timed Automata. IM 2017: 308-316 - [c5]Christian A. Hammerschmidt, Sebastian Garcia, Sicco Verwer, Radu State:
Reliable Machine Learning for Networking: Key Issues and Approaches. LCN 2017: 167-170 - [i2]Christian A. Hammerschmidt, Radu State, Sicco Verwer:
Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms. CoRR abs/1707.09430 (2017) - 2016
- [c4]Christian A. Hammerschmidt, Samuel Marchal, Radu State, Sicco Verwer:
Behavioral clustering of non-stationary IP flow record data. CNSM 2016: 297-301 - [c3]Gaetano Pellegrino, Christian A. Hammerschmidt, Qin Lin, Sicco Verwer:
Learning Deterministic Finite Automata from Infinite Alphabets. ICGI 2016: 120-131 - [c2]Christian A. Hammerschmidt, Benjamin Loos, Radu State, Thomas Engel:
Flexible State-Merging for Learning (P)DFAs in Python. ICGI 2016: 154-159 - [c1]Christian A. Hammerschmidt, Samuel Marchal, Radu State, Gaetano Pellegrino, Sicco Verwer:
Efficient Learning of Communication Profiles from IP Flow Records. LCN 2016: 559-562 - [i1]Christian Albert Hammerschmidt, Sicco Verwer, Qin Lin, Radu State:
Interpreting Finite Automata for Sequential Data. CoRR abs/1611.07100 (2016)
Coauthor Index
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