Christian A. Hammerschmidt

According to our database, Christian A. Hammerschmidt authored at least 22 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata.

Sicco Verwer, Christian A. Hammerschmidt

CoRR, 2022

2020

Minority Class Oversampling for Tabular Data with Deep Generative Models.

Ramiro Camino, Christian A. Hammerschmidt, Radu State

CoRR, 2020

Federated Learning For Cyber Security: SOC Collaboration For Malicious URL Detection.

Ekaterina Khramtsova, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Oversampling Tabular Data with Deep Generative Models: Is it worth the effort?

Ramiro Daniel Camino, Radu State, Christian A. Hammerschmidt

Proceedings of the "I Can't Believe It's Not Better!" at NeurIPS Workshops, 2020

The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search.

Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly

Proceedings of the AISec@CCS 2020: Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security, 2020

2019

MalPaCA: Malware Packet Sequence Clustering and Analysis.

Azqa Nadeem, Christian A. Hammerschmidt, Carlos Hernandez Gañán, Sicco Verwer

CoRR, 2019

Improving Missing Data Imputation with Deep Generative Models.

Ramiro Daniel Camino, Christian A. Hammerschmidt, Radu State

CoRR, 2019

Auto Semi-supervised Outlier Detection for Malicious Authentication Events.

Georgios Kaiafas, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

An Experimental Analysis of Fraud Detection Methods in Enterprise Telecommunication Data using Unsupervised Outlier Ensembles.

Georgios Kaiafas, Christian A. Hammerschmidt, Radu State, Cu D. Nguyen, Thorsten Ries, Mohamed Ourdane

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2019

time series modelling of market price in real-time bidding.

Manxing Du, Christian A. Hammerschmidt, Georgios Varisteas, Radu State, Mats Brorsson, Zhu Zhang

Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019

2018

Generating Multi-Categorical Samples with Generative Adversarial Networks.

Ramiro Camino, Christian A. Hammerschmidt, Radu State

CoRR, 2018

2017

Learning Finite Automata via Flexible State-Merging and Applications in Networking.

Christian A. Hammerschmidt

PhD thesis, 2017

Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms.

Christian A. Hammerschmidt, Radu State, Sicco Verwer

CoRR, 2017

Reliable Machine Learning for Networking: Key Issues and Approaches.

Christian A. Hammerschmidt, Sebastian Garcia, Sicco Verwer, Radu State

Proceedings of the 42nd IEEE Conference on Local Computer Networks, 2017

Learning behavioral fingerprints from Netflows using Timed Automata.

Gaetano Pellegrino, Qin Lin, Christian A. Hammerschmidt, Sicco Verwer

Proceedings of the 2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2017

flexfringe: A Passive Automaton Learning Package.

Sicco Verwer, Christian A. Hammerschmidt

Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

BotGM: Unsupervised graph mining to detect botnets in traffic flows.

Sofiane Lagraa, Jérôme François, Abdelkader Lahmadi, Marine Miner, Christian A. Hammerschmidt, Radu State

Proceedings of the 1st Cyber Security in Networking Conference, 2017

2016

Interpreting Finite Automata for Sequential Data.

Christian Albert Hammerschmidt, Sicco Verwer, Qin Lin, Radu State

CoRR, 2016

Efficient Learning of Communication Profiles from IP Flow Records.

Christian A. Hammerschmidt, Samuel Marchal, Radu State, Gaetano Pellegrino, Sicco Verwer

Proceedings of the 41st IEEE Conference on Local Computer Networks, 2016

Learning Deterministic Finite Automata from Infinite Alphabets.

Gaetano Pellegrino, Christian A. Hammerschmidt, Qin Lin, Sicco Verwer

Proceedings of the 13th International Conference on Grammatical Inference, 2016

Flexible State-Merging for Learning (P)DFAs in Python.

Christian A. Hammerschmidt, Benjamin Loos, Radu State, Thomas Engel

Proceedings of the 13th International Conference on Grammatical Inference, 2016

Behavioral clustering of non-stationary IP flow record data.

Christian A. Hammerschmidt, Samuel Marchal, Radu State, Sicco Verwer

Proceedings of the 12th International Conference on Network and Service Management, 2016